Vehicle passage control method and device, computer device and storage medium

Abstract

The application relates to a vehicle access control method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring first vehicle information of a to-be-guided vehicle through a first image acquisition device arranged at a first position; acquiring second vehicle information and third vehicle information of the to-be-guided vehicle through a second image acquisition device and a first radio frequency identification device arranged at a second position respectively; and displaying lane guidance language to the to-be-guided vehicle according to the first vehicle information, the second vehicle information and the third vehicle information, so that the to-be-guided vehicle can drive into a vehicle management station based on the lane guidance language. The method can comprehensively and reasonably determine the lane guidance language displayed to the to-be-guided vehicle, so that the to-be-guided vehicle can drive into a correct shunt lane according to the lane guidance language, the possibility of the to-be-guided vehicle driving into a wrong shunt lane is reduced, and the access efficiency of the to-be-guided vehicle through the vehicle management station is further improved.

Description

Technical Field

[0001] This application relates to the field of computer technology, and in particular to a vehicle traffic control method, apparatus, computer equipment, and storage medium. Background Technology

[0002] With the development of computers, vehicle management systems have been gradually established in vehicle management stations (such as toll stations) to store vehicle information of passing vehicles.

[0003] In existing technologies, vehicles seeking guidance at vehicle management stations typically select diversion lanes randomly. However, vehicles randomly selecting lanes may enter the wrong lane, such as a vehicle whose license plate information cannot be correctly identified entering an automatically managed diversion lane. In such cases, the vehicle usually needs to exit its current diversion lane and then turn into another. During this process, if the diversion lane the vehicle initially entered is already crowded, it can further exacerbate congestion, severely impacting the efficiency of vehicles passing through the vehicle management station. Summary of the Invention

[0004] Therefore, it is necessary to provide a vehicle traffic control method, device, computer equipment, and storage medium that can improve the traffic efficiency of vehicle management stations, addressing the aforementioned technical problems.

[0005] Firstly, this application provides a vehicle traffic control method. The method includes:

[0006] The first vehicle information of the vehicle to be guided is obtained by the first image acquisition device deployed at the first location.

[0007] The second image acquisition device and the first radio frequency identification device deployed at the second location respectively acquire the second vehicle information and the third vehicle information of the vehicle to be guided; wherein, the first location is located on the main line and the distance between it and the vehicle management station ramp is a preset first distance; the second location is located on the vehicle management station ramp and the distance between it and the vehicle management station diversion lane is a preset second distance;

[0008] Based on the first vehicle information, the second vehicle information, and the third vehicle information, lane guidance messages are displayed to the vehicles to be guided, so that the vehicles to be guided can enter the vehicle management station based on the lane guidance messages.

[0009] In one embodiment, the first vehicle information includes vehicle model information and license plate information; the first vehicle information of the vehicle to be guided is acquired through a first image acquisition device deployed at a first location, including:

[0010] A first vehicle image of the vehicle to be guided is acquired using a first image acquisition device deployed at a first location.

[0011] Perform vehicle model recognition processing on the first vehicle image to obtain the vehicle model information from the first vehicle information corresponding to the vehicle to be guided;

[0012] The license plate character recognition process is performed on the first vehicle image to obtain the license plate information from the first vehicle information corresponding to the vehicle to be guided.

[0013] In one embodiment, the license plate information includes license plate number information and license plate damage information; license plate character recognition processing is performed on the first vehicle image to obtain the license plate information in the first vehicle information corresponding to the vehicle to be guided, including:

[0014] The license plate character recognition process is performed on the first vehicle image to obtain the license plate character information of the first vehicle image;

[0015] Based on the license plate character value, determine the license plate number information in the first vehicle information corresponding to the vehicle to be guided;

[0016] Based on the license plate character image or license plate character value in the license plate character information, determine the license plate damage information in the first vehicle information corresponding to the vehicle to be guided.

[0017] In one embodiment, the license plate damage information in the first vehicle information corresponding to the vehicle to be guided is determined based on the license plate character image in the license plate character information, including:

[0018] Based on the license plate character image in the license plate character information, determine the character semantic features of the license plate character information;

[0019] Based on the similarity between the semantic features of the license plate characters and the preset standard features, the license plate damage information in the first vehicle information corresponding to the vehicle to be guided is determined.

[0020] In one embodiment, the license plate damage information in the first vehicle information corresponding to the vehicle to be guided is determined based on the license plate character image in the license plate character information, including:

[0021] The license plate character image in the license plate character information is processed into grayscale to obtain a grayscale license plate image;

[0022] Based on the relationship between the pixel variance value of the license plate grayscale image and the preset variance threshold, the license plate damage information in the first vehicle information corresponding to the vehicle to be guided is determined.

[0023] In one embodiment, the license plate damage information in the first vehicle information corresponding to the vehicle to be guided is determined based on the license plate character values ​​in the license plate character information, including:

[0024] Determine if there are any abnormal character values ​​in the license plate character information;

[0025] If present, the license plate damage information in the first vehicle information corresponding to the vehicle to be guided is determined based on the number of abnormal character values ​​and the number of license plate character values ​​between adjacent abnormal character values.

[0026] In one embodiment, the lane guidance message displayed to the vehicle to be guided, based on the first vehicle information, the second vehicle information, and the third vehicle information, includes:

[0027] Determine whether the information of the first vehicle, the second vehicle, and the third vehicle are all identical and whether any of them have damaged license plates;

[0028] If so, the first lane guidance message is displayed to the vehicle to be guided; the first lane guidance message is used to guide the vehicle to be guided into the automatic management diversion lane of the vehicle management station.

[0029] If not, a second lane guidance message will be displayed to the vehicle to be guided; the second lane guidance message is used to guide the vehicle to be guided into the manually managed diversion lane of the vehicle management station.

[0030] In one embodiment, after displaying lane guidance text to the vehicle to be guided based on first vehicle information, second vehicle information, and third vehicle information, the method further includes:

[0031] The fourth and fifth vehicle information of the vehicle to be guided are obtained through the third image acquisition device and the second radio frequency identification device deployed at the third location, respectively; wherein, the third location is the location of the management channel of the vehicle management station;

[0032] Based on the management attributes of the management channel, the consistency between the license plate information in the fourth vehicle information and the license plate information in the fifth vehicle information, and the consistency between the vehicle model information in the reference vehicle information and the vehicle model information in the fifth vehicle information, the passage status of the vehicle to be guided when passing through the vehicle management station is determined; wherein, the reference vehicle information is the first vehicle information or the second vehicle information.

[0033] Secondly, this application also provides a vehicle traffic control device. The device includes:

[0034] The first information acquisition module is used to acquire first vehicle information of the vehicle to be guided through the first image acquisition device deployed at the first location;

[0035] The second information acquisition module is used to acquire second vehicle information and third vehicle information of the vehicle to be guided through the second image acquisition device and the first radio frequency identification device deployed at the second location, respectively; wherein, the first location is located on the main line and the distance between it and the vehicle management station ramp is a preset first distance; the second location is located on the vehicle management station ramp and the distance between it and the vehicle management station diversion lane is a preset second distance;

[0036] The vehicle guidance module is used to display lane guidance messages to the vehicles to be guided based on the first vehicle information, the second vehicle information, and the third vehicle information, so that the vehicles to be guided can enter the vehicle management station based on the lane guidance messages.

[0037] Thirdly, this application also provides a computer device. The computer device includes a memory and a processor, the memory storing a computer program, and the processor executing the computer program to perform the following steps:

[0038] The first vehicle information of the vehicle to be guided is obtained by the first image acquisition device deployed at the first location.

[0039] The second image acquisition device and the first radio frequency identification device deployed at the second location respectively acquire the second vehicle information and the third vehicle information of the vehicle to be guided; wherein, the first location is located on the main line and the distance between it and the vehicle management station ramp is a preset first distance; the second location is located on the vehicle management station ramp and the distance between it and the vehicle management station diversion lane is a preset second distance;

[0040] Based on the first vehicle information, the second vehicle information, and the third vehicle information, lane guidance text is displayed to the vehicle to be guided, so that the vehicle to be guided can enter the vehicle management station based on the lane guidance text.

[0041] Fourthly, this application also provides a computer-readable storage medium. The computer-readable storage medium stores a computer program thereon, which, when executed by a processor, performs the following steps:

[0042] The first vehicle information of the vehicle to be guided is obtained by the first image acquisition device deployed at the first location.

[0043] The second image acquisition device and the first radio frequency identification device deployed at the second location respectively acquire the second vehicle information and the third vehicle information of the vehicle to be guided; wherein, the first location is located on the main line and the distance between it and the vehicle management station ramp is a preset first distance; the second location is located on the vehicle management station ramp and the distance between it and the vehicle management station diversion lane is a preset second distance;

[0044] Based on the first vehicle information, the second vehicle information, and the third vehicle information, lane guidance text is displayed to the vehicle to be guided, so that the vehicle to be guided can enter the vehicle management station based on the lane guidance text.

[0045] Fifthly, this application also provides a computer program product. The computer program product includes a computer program that, when executed by a processor, performs the following steps:

[0046] The first vehicle information of the vehicle to be guided is obtained by the first image acquisition device deployed at the first location.

[0047] The second image acquisition device and the first radio frequency identification device deployed at the second location respectively acquire the second vehicle information and the third vehicle information of the vehicle to be guided; wherein, the first location is located on the main line and the distance between it and the vehicle management station ramp is a preset first distance; the second location is located on the vehicle management station ramp and the distance between it and the vehicle management station diversion lane is a preset second distance;

[0048] Based on the first vehicle information, the second vehicle information, and the third vehicle information, lane guidance text is displayed to the vehicle to be guided, so that the vehicle to be guided can enter the vehicle management station based on the lane guidance text.

[0049] The aforementioned vehicle traffic control method, device, computer equipment, and storage medium acquire first, second, and third vehicle information of the vehicle to be guided by image acquisition equipment deployed at the ramp from the main line to the vehicle management station, and by image acquisition equipment and radio frequency identification equipment deployed at the diversion lane from the vehicle management station ramp to the vehicle management station diversion lane. Based on this first, second, and third vehicle information, the method determines the guidance message to be displayed to the vehicle to be guided. This method determines multiple vehicle information (i.e., first, second, and third vehicle information) based on acquisition equipment (i.e., image acquisition equipment and radio frequency identification equipment) deployed at multiple locations, which can more comprehensively and reasonably determine the lane guidance message to be displayed to the vehicle to be guided. This allows the vehicle to enter the correct diversion lane according to the lane guidance message, reducing the possibility of the vehicle to be guided entering the wrong diversion lane and further improving the traffic efficiency of the vehicle to be guided through the vehicle management station. Attached Figure Description

[0050] Figure 1 This is an application environment diagram of a vehicle traffic control method provided in this embodiment;

[0051] Figure 2 This is a flowchart illustrating the first vehicle traffic control method provided in this embodiment;

[0052] Figure 3This is a schematic diagram of a process for determining license plate information provided in this embodiment;

[0053] Figure 4 This embodiment provides a flowchart for determining lane guidance text.

[0054] Figure 5 This is a flowchart illustrating the second vehicle traffic control method provided in this embodiment;

[0055] Figure 6 This is a schematic diagram of a vehicle passage control method at a toll station provided in this embodiment;

[0056] Figure 7 This is a structural block diagram of the first type of vehicle access control device provided in this embodiment;

[0057] Figure 8 This is a structural block diagram of the second type of vehicle access control device provided in this embodiment;

[0058] Figure 9 This is a structural block diagram of the third type of vehicle access control device provided in this embodiment;

[0059] Figure 10 This is an internal structural diagram of a computer device provided in this embodiment. Detailed Implementation

[0060] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0061] The vehicle traffic control method provided in this application embodiment can be applied to, for example, Figure 1The application environment shown is as follows. In this environment, a first image acquisition device 111 is deployed on the first position 110 (i.e., the mainline gantry), a second image acquisition device 121, a first radio frequency identification device 122, and a lane guidance screen 123 are deployed on the second position 120 (i.e., the ramp gantry), and a vehicle management system 130 is deployed in the vehicle management station. When a vehicle 100 needs to enter the vehicle management station, it first enters the ramp from the main road via the first location 110. At this time, the first image acquisition device 111 deployed at the first location 110 acquires the first vehicle information of the vehicle and sends it to the vehicle management system 130. After passing through the ramp, the vehicle 100 enters the diversion lane via the second location 120. At this time, the second image acquisition device 121 deployed at the second location 120 acquires the second vehicle information of the vehicle, and the first radio frequency identification device 122 acquires the third vehicle information of the vehicle and sends both the second and third vehicle information to the vehicle management system 130. Based on the received first, second, and third vehicle information, the vehicle management system 130 determines the lane guidance message to be displayed to the vehicle and displays the lane guidance message on the guidance screen 123 so that the vehicle can enter the vehicle management station based on the lane guidance message. The vehicle management system 130 can be mounted on a terminal or server in the vehicle management station. The terminal can be, but is not limited to, various personal computers, laptops, smartphones, tablets, IoT devices, and portable wearable devices. IoT devices can include smart speakers, smart TVs, smart air conditioners, and smart in-vehicle devices. Portable wearable devices can include smartwatches, smart bracelets, and head-mounted devices. The server can be implemented using a standalone server or a server cluster consisting of multiple servers.

[0062] In one embodiment, such as Figure 2 As shown, a vehicle traffic control method is provided, which is applied to... Figure 1 Taking the vehicle management system in China as an example, the specific steps may include:

[0063] S201, the first vehicle information of the vehicle to be guided is obtained through the first image acquisition device deployed at the first location.

[0064] The first location is situated on the main line, and the distance between it and the vehicle management station ramp is a preset first distance. This preset first distance should be no less than 1 km. For example, Figure 1 The location indicated by the box marked 110 in the diagram.

[0065] The first image acquisition device can be a device for acquiring vehicle information of a vehicle to be guided passing through the first location. Optionally, the first image acquisition device can be a camera or a video recorder. There can be one or more first image acquisition devices, and this application does not limit this. It should be noted that the first image acquisition device can be deployed on the gantry (such as the mainline gantry) corresponding to the first location.

[0066] The vehicles to be guided can be those that need to be directed into the correct lane. The first vehicle information includes vehicle type and license plate information. Vehicle type information can be the type of the vehicle to be guided, such as: Class 1 passenger vehicle (i.e., passenger vehicle with a capacity of 9 or fewer people), Class 2 passenger vehicle (i.e., passenger vehicle with a capacity of 10-19 people), Class 3 passenger vehicle (i.e., passenger vehicle with a capacity of 39 or fewer people), Class 4 passenger vehicle (i.e., passenger vehicle with a capacity of more than 40 people), Class 1 freight vehicle (i.e., freight vehicle with 2 axles and a maximum permissible gross weight of less than 4500 kg), Class 2 freight vehicle (i.e., freight vehicle with 2 axles and a maximum permissible gross weight of not less than 4500 kg), Class 3 freight vehicle (i.e., freight vehicle with 3 axles), Class 4 freight vehicle (i.e., freight vehicle with 4 axles), Class 5 freight vehicle... Special purpose vehicles include: Class 1 special purpose vehicles (i.e., trucks with 5 axles), Class 6 special purpose vehicles (i.e., trucks with 6 axles), Class 1 special purpose vehicles (i.e., special purpose vehicles with 2 axles and a maximum permissible gross vehicle weight of less than 4500 kg), Class 2 special purpose vehicles (i.e., special purpose vehicles with 2 axles and a maximum permissible gross vehicle weight of not less than 4500 kg), Class 3 special purpose vehicles (i.e., special purpose vehicles with 3 axles), Class 4 special purpose vehicles (i.e., special purpose vehicles with 4 axles), Class 5 special purpose vehicles (i.e., special purpose vehicles with 5 axles), and Class 6 special purpose vehicles (i.e., special purpose vehicles with more than 6 axles).

[0067] Optionally, in this embodiment, a first image acquisition device deployed at a first location can acquire an image of the first vehicle and send the acquired image to a vehicle management system, which then determines the first vehicle information of the vehicle to be guided based on the image. Alternatively, the first image acquisition device can directly extract the first vehicle information from the acquired image and send the extracted information to the vehicle management system, in which case the vehicle management system can directly obtain the first vehicle information corresponding to the guided vehicle from the first image acquisition device.

[0068] Optionally, when the process of extracting the first vehicle information from the first vehicle image acquired by the first image acquisition device is completed by the vehicle management system, this step may involve acquiring the first vehicle image of the vehicle to be guided through the first image acquisition device deployed at the first location; performing vehicle model recognition processing on the first vehicle image to obtain the vehicle model information in the first vehicle information corresponding to the vehicle to be guided; and performing license plate character recognition processing on the first vehicle image to obtain the license plate information in the first vehicle information corresponding to the vehicle to be guided.

[0069] Specifically, at least one first vehicle image of the vehicle to be guided is acquired by a first image acquisition device deployed at a first location. The first vehicle image is then processed for vehicle type recognition to obtain the first vehicle type information in the first vehicle information. The first vehicle image is then processed for license plate character recognition to obtain each license plate character image corresponding to the license plate in the first vehicle image. For each license plate character image, the license plate character image is compared with a pre-set standard character image to obtain the license plate character value corresponding to the license plate character image. All license plate character values ​​corresponding to the license plate character image are taken as the license plate character recognition result corresponding to the first vehicle image. When the license plate character recognition results corresponding to several consecutive preset first vehicle images are all the same, the consecutive preset several identical license plate character recognition results are taken as the first license plate information in the first vehicle information.

[0070] Optionally, the specific implementation of performing vehicle model recognition processing on the first vehicle image to obtain the first vehicle model information in the first vehicle information can be as follows: for each first vehicle image, perform vehicle model recognition processing on the first vehicle image, detect the vehicle outline in the first vehicle image, and determine the vehicle model recognition result in the first vehicle information corresponding to the vehicle to be guided based on the vehicle outline. When the vehicle model recognition results corresponding to several consecutive preset first vehicle images are all the same, then the several consecutive preset identical vehicle model recognition results are used as the first vehicle model information in the first vehicle information. Alternatively, the acquired first vehicle images can be fused (e.g., three first vehicle images are captured within 1 second using a high frame rate camera; these three images contain information about the front, middle, and rear of the vehicle to be guided, respectively; the front, middle, and rear information from these three images are then sequentially stitched together) to obtain a complete vehicle image of the vehicle to be guided. Based on this complete vehicle image, vehicle type recognition processing is performed to identify vehicle type features (such as vehicle length, number of axles, and hazardous materials markings). Based on these vehicle type features and preset vehicle type recognition rules (e.g., determining that vehicles with a length greater than 6000mm and 3 axles are classified as Class 3 trucks), the first vehicle type information in the first vehicle information is determined.

[0071] Optionally, the method of acquiring the first vehicle image of the vehicle to be guided by the first image acquisition device deployed at the first location can be as follows: when the vehicle to be guided enters the recording range of the first image acquisition device deployed at the first location, the first image acquisition device acquires a driving video of the vehicle to be guided, and uses each frame of the driving video as the acquired first vehicle image of the vehicle to be guided. Alternatively, when the vehicle to be guided passes through a detection radar or tactile coil deployed near the first location, the first image acquisition device captures an image of the vehicle to be guided.

[0072] It should be noted that in this embodiment, the first image acquisition device deployed at the first location can be a single device or multiple devices. When there are multiple first image acquisition devices, they can acquire the front and side images of the vehicle to be guided, respectively. The side image is processed for vehicle type recognition to obtain the vehicle type information in the first vehicle information corresponding to the vehicle to be guided; the front image is processed for license plate character recognition to obtain the license plate information in the first vehicle information corresponding to the vehicle to be guided.

[0073] It should be noted that when there are multiple first vehicle images of vehicles to be guided (including front and side images), this embodiment can also use a matching algorithm to identify the front and side images of the same vehicle to be guided from each first vehicle image, and then fuse the license plate information corresponding to the front image with the vehicle model information corresponding to the side image, and use the fusion result (such as the fusion result of license plate information and vehicle model information) as the first vehicle information.

[0074] S202, the second vehicle information and the third vehicle information of the vehicle to be guided are obtained through the second image acquisition device and the first radio frequency identification device deployed at the second location, respectively.

[0075] The second location is situated on the ramp of the vehicle management station, and the distance between it and the diversion lane of the vehicle management station is a preset second distance. For example, Figure 1 The location indicated by the box marked 120 in the diagram.

[0076] The second image acquisition device can be a device used to acquire vehicle information of a vehicle to be guided passing through the second location. Optionally, the second image acquisition device can be an image acquisition device deployed on the gantry corresponding to the second location. It should be noted that one or more second image acquisition devices can be deployed, and the type of the second image acquisition device can be the same as or different from the type of the first image acquisition device; this application does not limit this. The second vehicle information can be vehicle model information and license plate information acquired by the second image acquisition device.

[0077] The first radio frequency identification (RFID) device can be a device used to identify vehicle information of a vehicle to be guided passing through the second location. Optionally, the first RFID device can be an Electronic Toll Collection (ETC) antenna device.

[0078] The third vehicle information can be the license plate and vehicle model information stored in the toll card installed in the vehicle to be guided. This third vehicle information is obtained based on the identification by the first radio frequency identification device. Optionally, the toll card can be an ETC card or a compound pass card (CPC). It should be noted that the ETC card is usually installed in the on-board unit (OBU), and the first radio frequency identification device needs to interact with the on-board unit to obtain the vehicle information of the vehicle to be guided stored in the ETC card.

[0079] Optionally, the method of obtaining the second vehicle information of the vehicle to be guided through the second image acquisition device deployed at the second location is similar to the method of obtaining the first vehicle information of the vehicle to be guided through the first image acquisition device deployed at the first location in step S201, and will not be described in detail here.

[0080] Optionally, the third vehicle information of the vehicle to be guided can be obtained by using the first radio frequency identification device deployed at the second location to identify the access card installed in the vehicle to be guided, and obtain the vehicle information (i.e., vehicle type information and license plate information) of the vehicle to be guided from the access card as the third vehicle information.

[0081] S203, based on the first vehicle information, the second vehicle information and the third vehicle information, displays lane guidance text to the vehicle to be guided, so that the vehicle to be guided can enter the vehicle management station based on the lane guidance text.

[0082] Among them, lane guidance messages are statements used to direct vehicles to the corresponding diversion lanes.

[0083] The vehicle management station can be a station used to provide services or management for vehicles to be guided. Optionally, the vehicle management station can be a toll station on a highway.

[0084] Optionally, based on the first vehicle information, the second vehicle information, and the third vehicle information, the consistency among the first vehicle information, the second vehicle information, and the third vehicle information is determined. When the vehicle information in the first vehicle information, the second vehicle information, and the third vehicle information are all consistent, the normal passage lane guidance message is displayed to the vehicle to be guided. When any vehicle information in the first vehicle information, the second vehicle information, and the third vehicle information is different from the other vehicle information (e.g., the vehicle type information in the first vehicle information is a type 3 truck, and the vehicle type information in the second and third vehicle information is a type 6 passenger vehicle), the lane guidance message "Vehicle information is abnormal, please use the manual management diversion lane (i.e., the lane based on manual service or management of the vehicle to be guided, such as an MTC toll lane or an ETC / MTC hybrid lane)" is displayed to the vehicle to be guided. The vehicle to be guided can choose the appropriate diversion lane to enter the vehicle management station according to the displayed lane guidance message.

[0085] It should be noted that when the vehicle information in the first, second, and third vehicle information of the vehicle to be guided is consistent, only the normal traffic lane guidance message can be displayed. There is no need to guide the vehicle to be guided into the manually managed diversion lane or the automatically managed diversion lane (i.e., the lane that can automatically identify vehicle information and provide services or management for the vehicle to be guided, such as the ETC toll lane). This can be decided by the owner of the vehicle to be guided.

[0086] The aforementioned vehicle traffic control method acquires first, second, and third vehicle information of the vehicle to be guided by image acquisition equipment deployed at the ramps leading from the main line to the vehicle management station, as well as image acquisition and radio frequency identification (RFID) equipment deployed at the diversion lanes leading from the vehicle management station ramps to the vehicle management station. Based on this first, second, and third vehicle information, the method determines the guidance message to be displayed to the vehicle to be guided. This approach, based on acquisition equipment (i.e., image acquisition equipment and RFID equipment) deployed at multiple locations, determines multiple vehicle information (i.e., first, second, and third vehicle information), enabling a more comprehensive and reasonable determination of the lane guidance message to be displayed to the vehicle to be guided. This allows the vehicle to enter the correct diversion lane based on the lane guidance message, reducing the possibility of the vehicle entering the wrong diversion lane and further improving the traffic efficiency of the vehicle to be guided through the vehicle management station.

[0087] It should be noted that while lane guidance messages can help vehicles enter the appropriate diversion lanes, they can only guide vehicles and cannot force them to enter a specific type of diversion lane. Therefore, to prevent vehicles from not following the lane guidance messages—for example, if the lane guidance message for a vehicle is to guide it into a manually managed diversion lane, but the vehicle ultimately enters an automatically managed diversion lane—this embodiment can further determine the vehicle's traffic status after displaying the lane guidance message based on the first, second, and third vehicle information. That is, it can determine whether the vehicle has correctly followed the guidance message and entered the corresponding lane. Optionally, after displaying lane guidance messages to the vehicle to be guided based on the first vehicle information, the second vehicle information, and the third vehicle information, the method further includes: acquiring the fourth vehicle information and the fifth vehicle information of the vehicle to be guided through the third image acquisition device and the second radio frequency identification device deployed at the third location, respectively; determining the passage status of the vehicle to be guided when passing through the vehicle management station based on the management attributes of the management channel, the consistency between the license plate information in the fourth vehicle information and the license plate information in the fifth vehicle information, and the consistency between the vehicle model information in the reference vehicle information and the vehicle model information in the fifth vehicle information.

[0088] The third location indicates the location of the vehicle management station's management lane, which is the lane managed manually or automatically within the vehicle management station. The reference vehicle information is either the first or second vehicle information.

[0089] The third image acquisition device can be a device used to acquire vehicle information of vehicles to be guided passing through the third location. Optionally, the third image acquisition device can be an image acquisition device deployed on the gantry corresponding to the third location or on the barrier that intercepts vehicles to be guided. It should be noted that one or more third image acquisition devices can be deployed, and the type of the third image acquisition device can be the same as or different from the type of the first image acquisition device; this application does not limit this. The fourth vehicle information can be license plate information acquired by the third image acquisition device. It should be noted that, because the management channels in the vehicle management station are closely adjacent and narrow, the third image acquisition device cannot accurately acquire complete images of each vehicle (especially for large trucks or buses). Therefore, the fourth vehicle information can only include the license plate information of the vehicles to be guided.

[0090] The second RFID device can be a device used to identify vehicle information of a vehicle to be guided passing through the third location. It should be noted that the type of the second RFID device can be the same as or different from the first RFID device; this application does not limit this. The main function of setting up multiple RFID devices is that when any RFID device fails, the vehicle information of the vehicle to be guided can still be obtained through other RFID devices. The fifth vehicle information can be the license plate information and vehicle model information stored in the toll card installed in the vehicle to be guided, and this fifth vehicle information is obtained based on the identification by the second RFID device.

[0091] Optionally, the method of obtaining the fourth vehicle information of the vehicle to be guided through the third image acquisition device deployed at the third location is similar to the method of obtaining the first vehicle information of the vehicle to be guided through the first image acquisition device deployed at the first location in step S201; the method of obtaining the fifth vehicle information of the vehicle to be guided through the second radio frequency identification device deployed at the third location is similar to the method of obtaining the third vehicle information of the vehicle to be guided through the first radio frequency identification device deployed at the second location in step S202, and will not be described in detail here.

[0092] Optionally, based on the consistency between the license plate information in the fourth vehicle information and the license plate information in the fifth vehicle information of the vehicle to be guided, it can be determined whether the license plate information of the vehicle to be guided is abnormal. At the same time, based on the consistency between the vehicle model information in the reference vehicle information and the vehicle model information in the fifth vehicle information, it can be determined whether the vehicle model information of the vehicle to be guided is abnormal. When the license plate and vehicle model information of the vehicle to be guided are normal, it proves that the vehicle can enter any management lane. Therefore, regardless of the management attribute of the management lane the vehicle enters, it can be directly determined that the passage status of the vehicle when passing through the vehicle management station is "both license plate and vehicle model are the same". When the license plate and / or vehicle model information of the vehicle to be guided is abnormal, it proves that the vehicle can only enter a management lane with a manual management attribute. In this case, it is necessary to determine whether the management attribute of the management lane the vehicle entered is manual. If it is, then only special handling is needed for the vehicle to be guided (e.g., providing payment service to the vehicle to be guided manually) based on the abnormal situation. If not, it proves that the vehicle to be guided, which should have entered the manual management diversion lane, ultimately entered the automatic management diversion lane. In this case, it may... In cases where vehicles attempt to force their way through automated traffic control lanes (e.g., without paying tolls), which is highly likely a violation, this embodiment determines the vehicle's passage status at the vehicle management station based on any anomalies in the vehicle's license plate and / or vehicle model information. Specifically, if the license plate information is abnormal but the vehicle model information is normal, the passage status is determined to be "different license plate, same vehicle model"; if the license plate information is normal but the vehicle model information is abnormal, the passage status is determined to be "same license plate, different vehicle model"; and if both the license plate and vehicle model information are abnormal, the passage status is determined to be "different license plate and different vehicle model." Finally, the vehicle information and passage status of the vehicle are recorded to provide evidence for subsequent audits.

[0093] Figure 3This is a flowchart illustrating the process of determining license plate information in one embodiment. In this embodiment, when a vehicle being guided passes through muddy sections or encounters severe weather, the license plate of the vehicle being guided will be affected, such as the license plate number being obscured by mud, making it impossible to accurately identify the license plate information. This may result in the vehicle being guided being unable to pass through the currently selected diversion lane (such as an automatically managed diversion lane), further causing congestion in the diversion lane. Therefore, this embodiment introduces the acquisition of license plate obscuration information to ensure that the guidance message to be displayed to the vehicle being guided is determined based on the license plate obscuration information. This embodiment provides an optional method for determining license plate information, including the following steps:

[0094] S301, Perform license plate character recognition processing on the first vehicle image to obtain the license plate character information of the first vehicle image.

[0095] Optionally, license plate character recognition processing is performed on the first vehicle image to identify each license plate character image corresponding to the license plate in the first vehicle image. For each license plate character image, the license plate character image is compared with a pre-set standard character image to obtain the license plate character value corresponding to the license plate character image. The license plate character image and the license plate character value are used together as the license plate character information of the first vehicle image.

[0096] S302, Based on the license plate character value of the license plate character information, determine the license plate number information in the first vehicle information corresponding to the vehicle to be guided.

[0097] Optionally, based on the determined license plate character values, each license plate character value is used as the license plate number information in the first vehicle information corresponding to the vehicle to be guided.

[0098] S303, determine the license plate damage information in the first vehicle information corresponding to the vehicle to be guided based on the license plate character image or license plate character value in the license plate character information.

[0099] Optionally, there are multiple ways to determine the license plate defacement information in the first vehicle information corresponding to the vehicle to be guided, based on the license plate character image or license plate character value in the license plate character information.

[0100] One possible implementation is to determine the semantic features of the license plate characters based on the license plate character image in the license plate character information; and to determine the license plate defacement information in the first vehicle information corresponding to the vehicle to be guided based on the similarity between the semantic features of the license plate characters and the preset standard features.

[0101] Specifically, based on the license plate character images in the license plate character information, for each license plate character image, semantic features are extracted using a deep learning model to determine the character semantic features of the license plate character information (such as specific license plate number features or license plate letter features). At the same time, the similarity between the character semantic features and the preset standard features is calculated (i.e., cosine similarity, cosine similarity = 1 - cosine distance between the character semantic features and the preset standard features). When the similarity is lower than a certain similarity threshold, it proves that there is almost no similarity between the character semantic features and the preset standard features. Therefore, it is determined that there is license plate damage information in the first vehicle information corresponding to the vehicle to be guided; otherwise, it proves that the vehicle to be guided does not have license plate damage.

[0102] Another possible implementation is to perform grayscale processing on the license plate character image in the license plate character information to obtain a license plate grayscale image; and determine the license plate defacement information in the first vehicle information corresponding to the vehicle to be guided based on the relationship between the pixel variance value of the license plate grayscale image and the preset variance threshold.

[0103] Specifically, for each license plate character image in the license plate character information, grayscale processing is required to obtain the license plate grayscale image. The pixel variance value between all pixels in the license plate grayscale image is calculated, and the relationship between the pixel variance value and the preset variance threshold is determined. When the pixel variance value is less than the preset variance threshold, it proves that the spacing between the pixels is small, and therefore the license plate character image may be blurry, thus proving that there is license plate damage information in the first vehicle information corresponding to the vehicle to be guided; otherwise, it proves that the vehicle to be guided does not have license plate damage.

[0104] Since it is rare for only one license plate character to be damaged in practical applications, using the presence or absence of abnormal character values ​​as a condition for judging the license plate damage information in the first vehicle information corresponding to the vehicle to be guided may result in a large number of false alarms. Therefore, in order to effectively reduce false alarms, another optional implementation of determining the license plate damage information in the first vehicle information corresponding to the vehicle to be guided in this embodiment is to determine whether there are abnormal character values ​​in the license plate character values ​​of the license plate character information; if so, the license plate damage information in the first vehicle information corresponding to the vehicle to be guided is determined according to the number of abnormal character values ​​and the number of license plate character values ​​between adjacent abnormal character values.

[0105] Specifically, the process involves determining whether there are any abnormal character values ​​in the license plate character information. If no abnormal character values ​​are found, it proves that all license plate characters can be recognized, thus indicating that the first vehicle information corresponding to the vehicle to be guided does not contain any license plate damage. If abnormal character values ​​are found, it indicates that the first vehicle information corresponding to the vehicle to be guided may contain license plate damage. Therefore, it is further determined whether the number of abnormal character values ​​(i.e., characters that cannot be accurately recognized, generally represented by "*") exceeds an abnormal character count threshold (e.g., 2). If the number of abnormal character values ​​exceeds the threshold, it proves that the vehicle to be guided has a large number of abnormal character values ​​that cannot be accurately recognized, thus indicating that the first vehicle information corresponding to the vehicle to be guided contains license plate damage. If the number of abnormal character values ​​does not exceed the threshold, the process is considered complete. If the number threshold is not met, it indicates that the abnormal character values ​​in the vehicle to be guided have little impact on the recognition of the license plate information of the vehicle to be guided. Therefore, it is possible to further determine whether the number of license plate character values ​​between adjacent abnormal character values ​​is greater than the number threshold (e.g., 3). If not, it indicates that the distance between two adjacent abnormal character values ​​is small, which may affect the final recognition result of the license plate information of the vehicle to be guided. If yes, it indicates that the distance between two adjacent abnormal character values ​​is large, which has little impact on the final recognition result of the license plate information of the vehicle to be guided. Although this method may identify license plate information containing abnormal character values, the identified license plate information containing abnormal character values ​​can be filtered out in the subsequent process of determining lane guidance text based on the first vehicle information, the second vehicle information, and the third vehicle information, and does not affect the practical application.

[0106] The above-mentioned method for determining license plate information involves performing license plate character recognition processing on the first vehicle image to determine the license plate character image and license plate character value of the first vehicle image. Based on the license plate character image or license plate character value, the method determines the license plate damage information in the first vehicle information corresponding to the vehicle to be guided. This method can accurately identify the license plate damage information and license plate number information of the vehicle to be guided, providing a guarantee for further determining lane guidance messages based on the first vehicle information.

[0107] Figure 4 This is a flowchart illustrating the process of determining lane guidance text in one embodiment. In this embodiment, to improve vehicle traffic efficiency at the vehicle management station and reduce the number of vehicles entering the wrong lane, lane guidance text is introduced to guide vehicles into the correct lane. Specifically, this embodiment provides an optional method for determining lane guidance text, including the following steps:

[0108] S401, obtain information about the first vehicle, the second vehicle, and the third vehicle.

[0109] S402, determine whether the information of the first vehicle, the second vehicle, and the third vehicle are all the same and whether there is any damage to the license plate.

[0110] Optionally, it is determined whether the license plate information of the first vehicle information, the license plate information of the second vehicle information, and the license plate information of the third vehicle information of the vehicle to be guided are all the same. At the same time, it is determined whether the vehicle model information of the first vehicle information, the vehicle model information of the second vehicle information, and the vehicle model information of the third vehicle information are all the same. If the license plate information of the first vehicle information, the second vehicle information, and the third vehicle information are all the same, and the vehicle to be guided does not have license plate damage information, then step S403 is continued. If the license plate information and / or vehicle model information of the first vehicle information, the second vehicle information, and the third vehicle information are different, that is, the license plate information and / or vehicle model information of any two vehicles in the first vehicle information, the second vehicle information, and the third vehicle information are different, it is proven that the license plate information and / or vehicle model information of the vehicle to be guided has been incorrectly identified. Therefore, step S404 is continued.

[0111] S403, if so, then the first lane guidance message is displayed to the vehicle to be guided.

[0112] The first lane guidance message is used to guide vehicles to enter the automated diversion lane of the vehicle management station.

[0113] Optionally, if the information of the first vehicle, the second vehicle, and the third vehicle are all the same and none of them have damaged license plates, it proves that the vehicle information of the vehicle to be guided can be successfully identified by the vehicle management station, and the first lane guidance message (such as: XXX license plate number information, please proceed normally) is displayed to the vehicle to be guided.

[0114] If not, then the second lane guidance message will be displayed to the vehicle to be guided.

[0115] The second lane guidance message is used to guide vehicles to enter the manually managed diversion lane at the vehicle management station.

[0116] Optionally, if there are differences between the first vehicle information, the second vehicle information, and the third vehicle information, and the license plate may be damaged, it proves that the vehicle information of the vehicle to be guided cannot be successfully identified by the vehicle management station, and the second lane guidance message (such as: Please enter the manual management lane) is displayed to the vehicle to be guided.

[0117] It should be noted that, depending on the differences between the first, second, and third vehicle information of the vehicle to be guided, as well as the condition of the license plate, the types of guidance messages for the second lane can be increased.

[0118] Specifically, if the license plate information is missing in the first and / or second vehicle information of the vehicle to be guided, it proves that the vehicle to be guided may have a temporary license plate. Therefore, the second lane guidance message can be displayed as: "Temporary license plate vehicle, please use the manual lane".

[0119] When the license plate information in the first vehicle information, the second vehicle information, and the third vehicle information of the vehicle to be guided are different, or when there is a damaged license plate in the first vehicle information and / or the second vehicle information, it proves that the license plate information of the vehicle to be guided cannot be automatically and correctly identified by the vehicle management station. It needs to enter the manual management diversion lane for manual management. Therefore, the guidance message in the second lane can be displayed as: "XXX (i.e., the license plate information in the first vehicle information), the license plate is abnormal, please use the manual lane".

[0120] When the vehicle model information in the first, second, and third vehicle information of a vehicle to be guided differs, it indicates that the vehicle model information of the vehicle to be guided cannot be automatically and correctly identified by the vehicle management station. The vehicle needs to enter the manual management diversion lane for manual management. Therefore, the guidance message for the second lane can be displayed as: "XXX (i.e., the license plate information in the first, second, or third vehicle information), vehicle model abnormal, please use the manual lane."

[0121] The aforementioned method for determining lane guidance messages determines different lane guidance messages based on the consistency between the first, second, and third vehicle information, as well as the presence of license plate damage. Specifically, when the first, second, and third vehicle information of the vehicle to be guided are identical, and the license plate is undamaged, the vehicle information can be accurately identified, thus guiding the vehicle into the automatically managed diversion lane. Conversely, if the first, second, and third vehicle information are not identical, the vehicle information cannot be accurately identified, and the vehicle must be guided into the manually managed diversion lane. This method accurately determines the lane guidance message for the vehicle to be guided based on multiple factors (i.e., the first, second, and third vehicle information) and guides the vehicle to the correct diversion lane according to the lane guidance message, reducing the possibility of the vehicle entering the wrong diversion lane and further improving the passage efficiency of vehicles through the vehicle management station.

[0122] In one embodiment, this embodiment provides an optional method for vehicle access control, using the application of this method to a server as an example for illustration. For example... Figure 5 As shown, the method includes the following steps:

[0123] S501, through the first image acquisition device deployed at the first location, acquires the first vehicle image of the vehicle to be guided.

[0124] S502, perform vehicle model recognition processing on the first vehicle image to obtain the vehicle model information from the first vehicle information corresponding to the vehicle to be guided.

[0125] S503, perform license plate character recognition processing on the first vehicle image to obtain the license plate character information of the first vehicle image.

[0126] S504, Based on the license plate character value of the license plate character information, determine the license plate number information in the first vehicle information corresponding to the vehicle to be guided.

[0127] S505, based on the license plate character image or license plate character value in the license plate character information, determine the license plate damage information in the first vehicle information corresponding to the vehicle to be guided.

[0128] Optionally, there are various ways to determine the license plate damage information in the first vehicle information corresponding to the vehicle to be guided based on the license plate character image or license plate character value in the license plate character information, and this application does not limit it here.

[0129] One possible approach is to determine the semantic features of the license plate characters based on the license plate character image in the license plate character information; and to determine the license plate defacement information in the first vehicle information corresponding to the vehicle to be guided based on the similarity between the semantic features of the license plate characters and the preset standard features.

[0130] Another option is to perform grayscale processing on the license plate character image in the license plate character information to obtain a license plate grayscale image; and determine the license plate defacement information in the first vehicle information corresponding to the vehicle to be guided based on the relationship between the pixel variance value of the license plate grayscale image and the preset variance threshold.

[0131] Another option is to determine whether there are abnormal character values ​​in the license plate character information; if so, determine the license plate damage information in the first vehicle information corresponding to the vehicle to be guided based on the number of abnormal character values ​​and the number of license plate character values ​​between adjacent abnormal character values.

[0132] S506, respectively, acquires the second vehicle information and the third vehicle information of the vehicle to be guided through the second image acquisition device and the first radio frequency identification device deployed at the second location.

[0133] The first position is located on the ramp of the vehicle management station, and the distance between it and the diversion lane of the vehicle management station is a preset second distance; the second position is located on the ramp of the vehicle management station, and the distance between it and the diversion lane of the vehicle management station is a preset second distance.

[0134] S507. Determine whether the information of the first vehicle, the second vehicle, and the third vehicle are all the same and whether there is any damage to the license plate. If yes, proceed to step S508; otherwise, proceed to step S509.

[0135] S508, if so, then display the first lane guidance message to the vehicle to be guided, and continue to step S510.

[0136] The first lane guidance message is used to guide vehicles to enter the automated diversion lane of the vehicle management station.

[0137] S509, if not, then display the second lane guidance message to the vehicle to be guided, and continue to step S510.

[0138] The second lane guidance message is used to guide vehicles to enter the manually managed diversion lane at the vehicle management station.

[0139] S510 acquires the fourth and fifth vehicle information of the vehicle to be guided through the third image acquisition device and the second radio frequency identification device deployed at the third location, respectively.

[0140] The third position is where the management passage of the vehicle management station is located.

[0141] S511, based on the management attributes of the management channel, the consistency between the license plate information in the fourth vehicle information and the license plate information in the fifth vehicle information, and the consistency between the vehicle model information in the reference vehicle information and the vehicle model information in the fifth vehicle information, determine the passage status of the vehicle to be guided when passing through the vehicle management station.

[0142] The reference vehicle information is either the first vehicle information or the second vehicle information.

[0143] For example, taking a vehicle management station as a toll station on a highway as an example, such as Figure 6 The diagram illustrates a vehicle traffic control method at a toll station. If a vehicle needs to enter a toll station on the highway, it will enter the ramp through the mainline gantry deployed at the connection between the mainline and the ramp, then enter the toll lane through the ramp gantry deployed at the connection between the ramp and the toll lane, and finally enter the toll station through the toll lane.

[0144] The mainline gantries are equipped with vehicle model recognition and license plate recognition devices (both can serve as the first image acquisition devices); the ramp gantries are equipped with vehicle model recognition, license plate recognition (both can serve as the second image acquisition devices), ETC antenna devices (i.e., the first radio frequency identification devices), and guidance screens to guide vehicles into the correct toll lanes; license plate recognition devices (i.e., the third image acquisition devices) and ETC antenna devices (i.e., the second radio frequency identification devices) are deployed in front of the toll station (such as toll station gantries, toll station L-bars deployed in the management channel, or lifting barriers deployed between the toll window and the exit lane); a toll collection system is deployed in the toll station, which is specifically used to store and analyze the vehicle information of the vehicles to be guided, and output the corresponding guidance statement for the vehicles to be guided based on the analysis results of the vehicle information; the toll lanes include ETC lanes (i.e., automatically managed diversion lanes) and manual lanes (i.e., manually managed diversion lanes).

[0145] When a vehicle passes through the mainline gantry, the vehicle type recognition device deployed on the gantry identifies the vehicle type information (i.e., the first vehicle type information), and the license plate recognition device identifies the license plate number information (i.e., the first license plate number information) and the license plate character evaluation result (i.e., the first license plate damage information). The vehicle type information, license plate number information, and license plate character evaluation result are stored in the mainline gantry database. Simultaneously, the mainline gantry database also sends this vehicle type information, license plate number information, and license plate character evaluation result to the toll collection system.

[0146] When a vehicle passes through the ramp gantry, the vehicle type recognition device deployed on the ramp gantry will identify the vehicle type information of the vehicle to be guided (i.e., second vehicle type information), the license plate recognition device will identify the license plate number information of the vehicle to be guided (i.e., second license plate number information) and the license plate character evaluation result (i.e., second license plate damage information), and the ETC antenna device will identify the information in the OBU / CPC card (i.e., third vehicle information). The vehicle type information, license plate number information, license plate character evaluation result, and OBU / CPC card information are stored in the ramp gantry database. At the same time, the ramp gantry database will also send the vehicle type information, license plate number information, license plate character evaluation result, and OBU / CPC card information to the toll collection system.

[0147] The toll station system analyzes data from the mainline gantry database (including vehicle model, license plate number, and license plate character evaluation results) and the ramp gantry database (including these data and OBU / CPC card information) to generate guidance messages for the vehicles to be guided. These messages are then displayed on the guidance screens between the toll lanes and ramps to guide vehicles with abnormal license plates to manual lanes and guide vehicles with normal license plates to drive normally (e.g., choosing either a manual lane or an ETC lane). Additionally, the system can alert vehicles with damaged license plates to clean them promptly based on the license plate character evaluation results (e.g., if the license plate is damaged).

[0148] When a vehicle enters the toll station through the toll lane, the license plate recognition equipment deployed in front of the toll station will identify the license plate number of the vehicle to be guided (i.e., the fourth vehicle information), and the ETC antenna equipment will identify the information in the OBU / CPC card (i.e., the fifth vehicle information). The license plate number information and the information in the OBU / CPC card are stored in the toll station database. At the same time, the toll station database will also send the license plate number information and the information in the OBU / CPC card to the toll collection system.

[0149] The toll collection system will determine the passage status of each vehicle to be guided based on the first vehicle type information, the first license plate number information, the second vehicle type information, the second license plate number information, the fourth vehicle information, and the fifth vehicle information. That is, whether vehicles with abnormal vehicle type and / or license plate can enter the manual lane normally.

[0150] For vehicles with abnormal vehicle types and / or license plates that are waiting to be guided through manual lanes, staff at the corresponding toll booths of the manual lanes can handle the situation on-site.

[0151] For vehicles with abnormal vehicle types and / or license plates that are waiting to be guided through the ETC lane, the toll station system will promptly record the abnormal vehicle information corresponding to the abnormal vehicle. When staff members have a request to access abnormal vehicle information, the abnormal vehicle information can be displayed to the staff members in a timely manner, providing audit basis for subsequent audit work.

[0152] It should be noted that the above Figure 6 Although the method of determining vehicle information shown is based on vehicle model recognition equipment, license plate recognition equipment and ETC antenna equipment, it can be understood that this embodiment can also be implemented by the toll collection system analyzing vehicle images collected by image acquisition equipment to determine the vehicle information of the vehicle to be guided.

[0153] It should be understood that although the steps in the flowcharts of the embodiments described above are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the embodiments described above may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages of other steps.

[0154] Based on the same inventive concept, this application also provides a vehicle traffic control device for implementing the vehicle traffic control method described above. The solution provided by this device is similar to the solution described in the above method; therefore, the specific limitations in one or more vehicle traffic control device embodiments provided below can be found in the limitations of the vehicle traffic control method described above, and will not be repeated here.

[0155] In one embodiment, such as Figure 7 As shown, a vehicle access control device 1 is provided, comprising: a first information acquisition module 10, a second information acquisition module 11, and a vehicle guidance module 12, wherein:

[0156] The first information acquisition module 10 is used to acquire first vehicle information of the vehicle to be guided through the first image acquisition device deployed at the first location;

[0157] The second information acquisition module 11 is used to acquire second vehicle information and third vehicle information of the vehicle to be guided through the second image acquisition device and the first radio frequency identification device deployed at the second location, respectively; wherein, the first location is located on the main line and the distance between it and the vehicle management station ramp is a preset first distance; the second location is located on the vehicle management station ramp and the distance between it and the vehicle management station diversion lane is a preset second distance.

[0158] The vehicle guidance module 12 is used to display lane guidance text to the vehicle to be guided based on the first vehicle information, the second vehicle information and the third vehicle information, so that the vehicle to be guided can enter the vehicle management station based on the lane guidance text.

[0159] In one embodiment, such as Figure 8 As shown, Figure 7 The first information acquisition module 10 in the middle includes:

[0160] The image acquisition unit 100 is used to acquire a first vehicle image of the vehicle to be guided by a first image acquisition device deployed at a first location.

[0161] The vehicle model determination unit 101 is used to perform vehicle model recognition processing on the first vehicle image to obtain the vehicle model information in the first vehicle information corresponding to the vehicle to be guided.

[0162] The license plate determination unit 102 is used to perform license plate character recognition processing on the first vehicle image to obtain the license plate information in the first vehicle information corresponding to the vehicle to be guided.

[0163] In one embodiment, Figure 8 The license plate determination unit 102 in the middle includes:

[0164] The character determination subunit is used to perform license plate character recognition processing on the first vehicle image to obtain the license plate character information of the first vehicle image;

[0165] The license plate determination subunit is used to determine the license plate number information in the first vehicle information corresponding to the vehicle to be guided based on the license plate character value of the license plate character information.

[0166] The defacement determination subunit is used to determine the defacement information of the license plate in the first vehicle information corresponding to the vehicle to be guided, based on the license plate character image or license plate character value in the license plate character information.

[0167] In one embodiment, the contamination determination subunit includes:

[0168] The feature determination subcomponent is used to determine the semantic features of the license plate characters based on the license plate character image in the license plate character information;

[0169] The defacement determination subcomponent is used to determine the defacement information of the license plate in the first vehicle information corresponding to the vehicle to be guided, based on the similarity between the semantic features of the license plate characters and the preset standard features.

[0170] In one embodiment, the contamination determination subunit includes:

[0171] The grayscale determination subcomponent is used to perform grayscale processing on the license plate character image in the license plate character information to obtain a grayscale license plate image.

[0172] The license plate defacement determination sub-component is used to determine the license plate defacement information in the first vehicle information corresponding to the vehicle to be guided based on the relationship between the pixel variance value of the license plate grayscale image and a preset variance threshold.

[0173] In one embodiment, the contamination determination subunit includes:

[0174] The exception determination subcomponent is used to determine whether there are any abnormal character values ​​in the license plate character information;

[0175] The defacement information determination subcomponent is used to determine, if present, the license plate defacement information in the first vehicle information corresponding to the vehicle to be guided, based on the number of abnormal character values ​​and the number of license plate character values ​​between adjacent abnormal character values.

[0176] In one embodiment, Figure 7 The vehicle guidance module 12 includes:

[0177] The defacement judgment unit is used to determine whether the information of the first vehicle, the second vehicle, and the third vehicle are all the same and whether there is any defacement of the license plate.

[0178] The first guidance unit is used to display a first lane guidance message to the vehicle to be guided if the condition is met; wherein the first lane guidance message is used to guide the vehicle to be guided into the automatic management diversion lane of the vehicle management station.

[0179] The second guidance unit is used to display a second lane guidance message to the vehicle to be guided if otherwise; wherein the second lane guidance message is used to guide the vehicle to be guided into the manually managed diversion lane of the vehicle management station.

[0180] In one embodiment, such as Figure 9 As shown, Figure 7 The vehicle access control device 1 includes:

[0181] The third information acquisition module 13 is used to acquire the fourth vehicle information and the fifth vehicle information of the vehicle to be guided through the third image acquisition device and the second radio frequency identification device deployed at the third location, respectively; wherein, the third location is the location of the management channel of the vehicle management station;

[0182] The passage status determination module 14 is used to determine the passage status of the vehicle to be guided when it passes through the vehicle management station based on the management attributes of the management channel, the consistency between the license plate information in the fourth vehicle information and the license plate information in the fifth vehicle information, and the consistency between the vehicle model information in the reference vehicle information and the vehicle model information in the fifth vehicle information; wherein, the reference vehicle information is the first vehicle information or the second vehicle information.

[0183] Each module in the aforementioned vehicle access control device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device, or stored in the memory of a computer device as software, so that the processor can call and execute the corresponding operations of each module.

[0184] In one embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as follows: Figure 10 As shown, the computer device includes a processor, memory, communication interface, display screen, and input devices connected via a system bus. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The communication interface is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, mobile cellular networks, NFC (Near Field Communication), or other technologies. When the computer program is executed by the processor, it implements a vehicle access control method. The display screen can be an LCD screen or an e-ink screen. The input devices can be a touch layer covering the display screen, buttons, a trackball, or a touchpad on the computer device's casing, or an external keyboard, touchpad, or mouse.

[0185] Those skilled in the art will understand that Figure 10 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0186] In one embodiment, a computer device is provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to perform the following steps:

[0187] The first vehicle information of the vehicle to be guided is obtained by the first image acquisition device deployed at the first location.

[0188] The second image acquisition device and the first radio frequency identification device deployed at the second location respectively acquire the second vehicle information and the third vehicle information of the vehicle to be guided; wherein, the first location is located on the main line and the distance between it and the vehicle management station ramp is a preset first distance; the second location is located on the vehicle management station ramp and the distance between it and the vehicle management station diversion lane is a preset second distance;

[0189] Based on the first vehicle information, the second vehicle information, and the third vehicle information, lane guidance text is displayed to the vehicle to be guided, so that the vehicle to be guided can enter the vehicle management station based on the lane guidance text.

[0190] In one embodiment, the processor, when executing a computer program, also performs the following steps:

[0191] A first vehicle image of the vehicle to be guided is acquired using a first image acquisition device deployed at a first location.

[0192] Perform vehicle model recognition processing on the first vehicle image to obtain the vehicle model information from the first vehicle information corresponding to the vehicle to be guided;

[0193] The license plate character recognition process is performed on the first vehicle image to obtain the license plate information from the first vehicle information corresponding to the vehicle to be guided.

[0194] In one embodiment, the processor, when executing a computer program, also performs the following steps:

[0195] The license plate character recognition process is performed on the first vehicle image to obtain the license plate character information of the first vehicle image;

[0196] Based on the license plate character value, determine the license plate number information in the first vehicle information corresponding to the vehicle to be guided;

[0197] Based on the license plate character image or license plate character value in the license plate character information, determine the license plate damage information in the first vehicle information corresponding to the vehicle to be guided.

[0198] In one embodiment, the processor, when executing a computer program, also performs the following steps:

[0199] Based on the license plate character image in the license plate character information, determine the character semantic features of the license plate character information;

[0200] Based on the similarity between the semantic features of the license plate characters and the preset standard features, the license plate damage information in the first vehicle information corresponding to the vehicle to be guided is determined.

[0201] In one embodiment, the processor, when executing a computer program, also performs the following steps:

[0202] The license plate character image in the license plate character information is processed into grayscale to obtain a grayscale license plate image;

[0203] Based on the relationship between the pixel variance value of the license plate grayscale image and the preset variance threshold, the license plate damage information in the first vehicle information corresponding to the vehicle to be guided is determined.

[0204] In one embodiment, the processor, when executing a computer program, also performs the following steps:

[0205] Determine if there are any abnormal character values ​​in the license plate character information;

[0206] If present, the license plate damage information in the first vehicle information corresponding to the vehicle to be guided is determined based on the number of abnormal character values ​​and the number of license plate character values ​​between adjacent abnormal character values.

[0207] In one embodiment, the processor, when executing a computer program, also performs the following steps:

[0208] Determine whether the information of the first vehicle, the second vehicle, and the third vehicle are all identical and whether any of them have damaged license plates;

[0209] If so, the first lane guidance message is displayed to the vehicle to be guided; the first lane guidance message is used to guide the vehicle to be guided into the automatic management diversion lane of the vehicle management station.

[0210] If not, a second lane guidance message will be displayed to the vehicle to be guided; the second lane guidance message is used to guide the vehicle to be guided into the manually managed diversion lane of the vehicle management station.

[0211] In one embodiment, the processor, when executing a computer program, also performs the following steps:

[0212] The fourth and fifth vehicle information of the vehicle to be guided are obtained through the third image acquisition device and the second radio frequency identification device deployed at the third location, respectively; wherein, the third location is the location of the management channel of the vehicle management station;

[0213] Based on the management attributes of the management channel, the consistency between the license plate information in the fourth vehicle information and the license plate information in the fifth vehicle information, and the consistency between the vehicle model information in the reference vehicle information and the vehicle model information in the fifth vehicle information, the passage status of the vehicle to be guided when passing through the vehicle management station is determined; wherein, the reference vehicle information is the first vehicle information or the second vehicle information.

[0214] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, the computer program performing the following steps when executed by a processor:

[0215] The first vehicle information of the vehicle to be guided is obtained by the first image acquisition device deployed at the first location.

[0216] The second image acquisition device and the first radio frequency identification device deployed at the second location respectively acquire the second vehicle information and the third vehicle information of the vehicle to be guided; wherein, the first location is located on the main line and the distance between it and the vehicle management station ramp is a preset first distance; the second location is located on the vehicle management station ramp and the distance between it and the vehicle management station diversion lane is a preset second distance;

[0217] Based on the first vehicle information, the second vehicle information, and the third vehicle information, lane guidance text is displayed to the vehicle to be guided, so that the vehicle to be guided can enter the vehicle management station based on the lane guidance text.

[0218] In one embodiment, when the computer program is executed by a processor, it also performs the following steps:

[0219] A first vehicle image of the vehicle to be guided is acquired using a first image acquisition device deployed at a first location.

[0220] Perform vehicle model recognition processing on the first vehicle image to obtain the vehicle model information from the first vehicle information corresponding to the vehicle to be guided;

[0221] The license plate character recognition process is performed on the first vehicle image to obtain the license plate information from the first vehicle information corresponding to the vehicle to be guided.

[0222] In one embodiment, when the computer program is executed by a processor, it also performs the following steps:

[0223] The license plate character recognition process is performed on the first vehicle image to obtain the license plate character information of the first vehicle image;

[0224] Based on the license plate character value, determine the license plate number information in the first vehicle information corresponding to the vehicle to be guided;

[0225] Based on the license plate character image or license plate character value in the license plate character information, determine the license plate damage information in the first vehicle information corresponding to the vehicle to be guided.

[0226] In one embodiment, when the computer program is executed by a processor, it also performs the following steps:

[0227] Based on the license plate character image in the license plate character information, determine the character semantic features of the license plate character information;

[0228] Based on the similarity between the semantic features of the license plate characters and the preset standard features, the license plate damage information in the first vehicle information corresponding to the vehicle to be guided is determined.

[0229] In one embodiment, when the computer program is executed by a processor, it also performs the following steps:

[0230] The license plate character image in the license plate character information is processed into grayscale to obtain a grayscale license plate image;

[0231] Based on the relationship between the pixel variance value of the license plate grayscale image and the preset variance threshold, the license plate damage information in the first vehicle information corresponding to the vehicle to be guided is determined.

[0232] In one embodiment, when the computer program is executed by a processor, it also performs the following steps:

[0233] Determine if there are any abnormal character values ​​in the license plate character information;

[0234] If present, the license plate damage information in the first vehicle information corresponding to the vehicle to be guided is determined based on the number of abnormal character values ​​and the number of license plate character values ​​between adjacent abnormal character values.

[0235] In one embodiment, when the computer program is executed by a processor, it also performs the following steps:

[0236] Determine whether the information of the first vehicle, the second vehicle, and the third vehicle are all identical and whether any of them have damaged license plates;

[0237] If so, the first lane guidance message is displayed to the vehicle to be guided; the first lane guidance message is used to guide the vehicle to be guided into the automatic management diversion lane of the vehicle management station.

[0238] If not, a second lane guidance message will be displayed to the vehicle to be guided; the second lane guidance message is used to guide the vehicle to be guided into the manually managed diversion lane of the vehicle management station.

[0239] In one embodiment, when the computer program is executed by a processor, it also performs the following steps:

[0240] The fourth and fifth vehicle information of the vehicle to be guided are obtained through the third image acquisition device and the second radio frequency identification device deployed at the third location, respectively; wherein, the third location is the location of the management channel of the vehicle management station;

[0241] Based on the management attributes of the management channel, the consistency between the license plate information in the fourth vehicle information and the license plate information in the fifth vehicle information, and the consistency between the vehicle model information in the reference vehicle information and the vehicle model information in the fifth vehicle information, the passage status of the vehicle to be guided when passing through the vehicle management station is determined; wherein, the reference vehicle information is the first vehicle information or the second vehicle information.

[0242] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, performs the following steps:

[0243] The first vehicle information of the vehicle to be guided is obtained by the first image acquisition device deployed at the first location.

[0244] The second image acquisition device and the first radio frequency identification device deployed at the second location respectively acquire the second vehicle information and the third vehicle information of the vehicle to be guided; wherein, the first location is located on the main line and the distance between it and the vehicle management station ramp is a preset first distance; the second location is located on the vehicle management station ramp and the distance between it and the vehicle management station diversion lane is a preset second distance;

[0245] Based on the first vehicle information, the second vehicle information, and the third vehicle information, lane guidance text is displayed to the vehicle to be guided, so that the vehicle to be guided can enter the vehicle management station based on the lane guidance text.

[0246] In one embodiment, when the computer program is executed by a processor, it also performs the following steps:

[0247] A first vehicle image of the vehicle to be guided is acquired using a first image acquisition device deployed at a first location.

[0248] Perform vehicle model recognition processing on the first vehicle image to obtain the vehicle model information from the first vehicle information corresponding to the vehicle to be guided;

[0249] The license plate character recognition process is performed on the first vehicle image to obtain the license plate information from the first vehicle information corresponding to the vehicle to be guided.

[0250] In one embodiment, when the computer program is executed by a processor, it also performs the following steps:

[0251] The license plate character recognition process is performed on the first vehicle image to obtain the license plate character information of the first vehicle image;

[0252] Based on the license plate character value, determine the license plate number information in the first vehicle information corresponding to the vehicle to be guided;

[0253] Based on the license plate character image or license plate character value in the license plate character information, determine the license plate damage information in the first vehicle information corresponding to the vehicle to be guided.

[0254] In one embodiment, when the computer program is executed by a processor, it also performs the following steps:

[0255] Based on the license plate character image in the license plate character information, determine the character semantic features of the license plate character information;

[0256] Based on the similarity between the semantic features of the license plate characters and the preset standard features, the license plate damage information in the first vehicle information corresponding to the vehicle to be guided is determined.

[0257] In one embodiment, when the computer program is executed by a processor, it also performs the following steps:

[0258] The license plate character image in the license plate character information is processed into grayscale to obtain a grayscale license plate image;

[0259] Based on the relationship between the pixel variance value of the license plate grayscale image and the preset variance threshold, the license plate damage information in the first vehicle information corresponding to the vehicle to be guided is determined.

[0260] In one embodiment, when the computer program is executed by a processor, it also performs the following steps:

[0261] Determine if there are any abnormal character values ​​in the license plate character information;

[0262] If present, the license plate damage information in the first vehicle information corresponding to the vehicle to be guided is determined based on the number of abnormal character values ​​and the number of license plate character values ​​between adjacent abnormal character values.

[0263] In one embodiment, when the computer program is executed by a processor, it also performs the following steps:

[0264] Determine whether the information of the first vehicle, the second vehicle, and the third vehicle are all identical and whether any of them have damaged license plates;

[0265] If so, the first lane guidance message is displayed to the vehicle to be guided; the first lane guidance message is used to guide the vehicle to be guided into the automatic management diversion lane of the vehicle management station.

[0266] If not, a second lane guidance message will be displayed to the vehicle to be guided; the second lane guidance message is used to guide the vehicle to be guided into the manually managed diversion lane of the vehicle management station.

[0267] In one embodiment, when the computer program is executed by a processor, it also performs the following steps:

[0268] The fourth and fifth vehicle information of the vehicle to be guided are obtained through the third image acquisition device and the second radio frequency identification device deployed at the third location, respectively; wherein, the third location is the location of the management channel of the vehicle management station;

[0269] Based on the management attributes of the management channel, the consistency between the license plate information in the fourth vehicle information and the license plate information in the fifth vehicle information, and the consistency between the vehicle model information in the reference vehicle information and the vehicle model information in the fifth vehicle information, the passage status of the vehicle to be guided when passing through the vehicle management station is determined; wherein, the reference vehicle information is the first vehicle information or the second vehicle information.

[0270] It should be noted that the vehicle images, vehicle information, etc. involved in this application are all information and data authorized by the user or fully authorized by all parties.

[0271] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited to these.

[0272] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0273] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A vehicle traffic control method, characterized in that, The method includes: A first vehicle image of the vehicle to be guided is acquired using a first image acquisition device deployed at a first location. The first vehicle image is processed by license plate character recognition to obtain the license plate character information of the first vehicle image; Based on the license plate character image or license plate character value in the license plate character information, determine the license plate damage information in the first vehicle information corresponding to the vehicle to be guided; The second vehicle information and the third vehicle information of the vehicle to be guided are obtained by the second image acquisition device and the first radio frequency identification device deployed at the second location, respectively; wherein, the first location is located on the main line and the distance between it and the vehicle management station ramp is a preset first distance; the second location is located on the vehicle management station ramp and the distance between it and the vehicle management station diversion lane is a preset second distance; Based on the first vehicle information, the second vehicle information, and the third vehicle information, lane guidance text is displayed to the vehicle to be guided, so that the vehicle to be guided can enter the vehicle management station based on the lane guidance text; The fourth and fifth vehicle information of the vehicle to be guided are obtained through the third image acquisition device and the second radio frequency identification device deployed at the third location, respectively; wherein, the third location is the location of the management channel of the vehicle management station; Based on the management attributes of the management channel, the consistency between the license plate information in the fourth vehicle information and the license plate information in the fifth vehicle information, and the consistency between the vehicle model information in the reference vehicle information and the vehicle model information in the fifth vehicle information, the passage status of the vehicle to be guided when passing through the vehicle management station is determined; wherein, the reference vehicle information is the first vehicle information or the second vehicle information. The step of determining the license plate damage information in the first vehicle information corresponding to the vehicle to be guided based on the license plate character image in the license plate character information includes: determining the character semantic features of the license plate character information based on the license plate character image in the license plate character information; and determining the license plate damage information in the first vehicle information corresponding to the vehicle to be guided based on the similarity between the character semantic features of the license plate character information and preset standard features.

2. The method according to claim 1, characterized in that, The first vehicle information includes vehicle model information; the method further includes: The first vehicle image is processed for vehicle model recognition to obtain the vehicle model information from the first vehicle information corresponding to the vehicle to be guided.

3. The method according to claim 2, characterized in that, The license plate information includes the license plate number; the method further includes: Based on the license plate character value of the license plate character information, the license plate number information in the first vehicle information corresponding to the vehicle to be guided is determined.

4. The method according to claim 1, characterized in that, The step of determining the license plate damage information in the first vehicle information corresponding to the vehicle to be guided based on the license plate character image in the license plate character information includes: The license plate character image in the license plate character information is processed into grayscale to obtain a grayscale license plate image; Based on the relationship between the pixel variance value of the license plate grayscale image and a preset variance threshold, the license plate defacement information in the first vehicle information corresponding to the vehicle to be guided is determined.

5. The method according to claim 1, characterized in that, The step of determining the license plate damage information in the first vehicle information corresponding to the vehicle to be guided based on the license plate character value in the license plate character information includes: Determine whether there are any abnormal character values ​​in the license plate character information; If present, the license plate damage information in the first vehicle information corresponding to the vehicle to be guided is determined based on the number of abnormal character values ​​and the number of license plate character values ​​between adjacent abnormal character values.

6. The method according to claim 1, characterized in that, The lane guidance message displayed to the vehicle to be guided based on the first vehicle information, the second vehicle information, and the third vehicle information includes: Determine whether the first vehicle information, the second vehicle information, and the third vehicle information are all the same and whether all of them have no damaged license plates; If so, a first lane guidance message is displayed to the vehicle to be guided; wherein the first lane guidance message is used to guide the vehicle to be guided into the automatic management diversion lane of the vehicle management station. If not, a second lane guidance message is displayed to the vehicle to be guided; wherein the second lane guidance message is used to guide the vehicle to be guided into the manually managed diversion lane of the vehicle management station.

7. A vehicle passage control device, characterized in that, The device includes: The first information acquisition module is used to acquire a first vehicle image of the vehicle to be guided through a first image acquisition device deployed at a first location; perform license plate character recognition processing on the first vehicle image to obtain license plate character information of the first vehicle image; and determine the license plate damage information in the first vehicle information corresponding to the vehicle to be guided based on the license plate character image or license plate character value in the license plate character information; wherein, determining the license plate damage information in the first vehicle information corresponding to the vehicle to be guided based on the license plate character image in the license plate character information includes: determining the character semantic features of the license plate character information based on the license plate character image in the license plate character information; and determining the license plate damage information in the first vehicle information corresponding to the vehicle to be guided based on the similarity between the character semantic features of the license plate character information and preset standard features. The second information acquisition module is used to acquire second vehicle information and third vehicle information of the vehicle to be guided through a second image acquisition device and a first radio frequency identification device deployed at a second location, respectively; wherein, the first location is located on the main line and the distance between it and the vehicle management station ramp is a preset first distance; the second location is located on the vehicle management station ramp and the distance between it and the vehicle management station diversion lane is a preset second distance; The vehicle guidance module is used to display lane guidance text to the vehicle to be guided based on the first vehicle information, the second vehicle information and the third vehicle information, so that the vehicle to be guided can enter the vehicle management station based on the lane guidance text; The third information acquisition module is used to acquire the fourth and fifth vehicle information of the vehicle to be guided through the third image acquisition device and the second radio frequency identification device deployed at the third location, respectively; wherein, the third location is the location of the management channel of the vehicle management station; The passage status determination module is used to determine the passage status of the vehicle to be guided when it passes through the vehicle management station based on the management attributes of the management channel, the consistency between the license plate information in the fourth vehicle information and the license plate information in the fifth vehicle information, and the consistency between the vehicle model information in the reference vehicle information and the vehicle model information in the fifth vehicle information; wherein the reference vehicle information is the first vehicle information or the second vehicle information.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 6.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 6.

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