Expressway abnormal vehicle identification method, device and equipment and storage medium

Abstract

The invention relates to the technical field of intelligent traffic, and provides a highway abnormal vehicle identification method, device and equipment and a storage medium, and the method comprises the steps: collecting a first vehicle feature of a vehicle driving out of a service area through vehicle monitoring equipment in an exit ramp; based on a road side unit in the exit ramp, reading a second vehicle feature from the passing medium of the vehicle; acquiring a third vehicle feature associated with the second vehicle feature; the third vehicle feature is acquired by the vehicle monitoring equipment on the entrance ramp when the vehicle drives into the service area, and is associated with the second vehicle feature; and determining whether the passing vehicle is an abnormal vehicle according to the consistency of the first vehicle feature, the second vehicle feature and the third vehicle feature. The abnormal vehicles with suspected fee evasion behaviors are screened and identified in the service area, so that the management and control of the middle section of the expressway are enhanced, the timeliness of identification and management and control of the suspected fee evasion vehicles is improved, countermeasures can be taken in time, and the generation of the fee evasion behaviors is reduced.

Description

Technical Field

[0001] The present invention relates to the field of intelligent transportation technology, and in particular to a method, device, equipment and storage medium for identifying abnormal vehicles on a highway. Background Art

[0002] With the development of Internet of Things technology, the road network services of highways are gradually showing an integrated trend. Toll stations are set up in various sections to uniformly bill and charge vehicles. With the popularization of ETC (Electronic Toll Collection System), toll stations have set up unmanned ETC dedicated channels, which has led to the emergence of vehicles evading fees by following other vehicles, breaking through checkpoints, and changing the vehicle's suspension. At present, abnormal vehicles with evasion behavior are only controlled at toll stations. The main control measure is to conduct post-audit and recovery of evasion vehicles after the vehicles evade fees. However, there is a lack of control over vehicles passing through the middle sections of highways, so it is impossible to take effective countermeasures in time to reduce the occurrence of evasion behavior. There is a certain lag in the identification and control of evasion vehicles. Summary of the invention

[0003] The present invention provides a method, device, equipment and storage medium for identifying abnormal vehicles on a highway, so as to solve the defect in the prior art that there is a lack of control over vehicles passing through the middle section of a highway, thereby causing a lag in the identification and control of toll-evading vehicles.

[0004] The present invention provides a method for identifying abnormal vehicles on a highway, comprising the following steps: collecting first vehicle characteristics of vehicles passing out of the service area through a first vehicle monitoring device disposed in an exit ramp of the service area; Based on a first roadside unit disposed in the exit ramp, reading a second vehicle feature of the passing vehicle from a passing medium of the passing vehicle; Acquire a third vehicle feature of the passing vehicle associated with the second vehicle feature; the third vehicle feature is collected by a second vehicle monitoring device disposed on an entrance ramp of the service area when the passing vehicle enters the service area, and is associated with the second vehicle feature; Whether the passing vehicle is an abnormal vehicle is determined according to the consistency of the first vehicle feature, the second vehicle feature and the third vehicle feature.

[0005] According to the method for identifying abnormal vehicles on highways provided by the present invention, determining whether the passing vehicle is an abnormal vehicle based on the consistency of the first vehicle feature, the second vehicle feature and the third vehicle feature includes: Comparing the first vehicle feature, the second vehicle feature and the third vehicle feature to obtain a comparison result; the comparison result includes a first comparison result between the first vehicle feature and the second vehicle feature, a second comparison result between the first vehicle feature and the third vehicle feature, and a third comparison result between the second vehicle feature and the third vehicle feature; Whether the passing vehicle is an abnormal vehicle is determined based on the consistency of the first vehicle feature, the second vehicle feature, and the third vehicle feature represented by the comparison result.

[0006] According to the method for identifying abnormal vehicles on highways provided by the present invention, after determining whether the passing vehicle is an abnormal vehicle based on the consistency of the first vehicle feature, the second vehicle feature and the third vehicle feature, the method further includes: If the passing vehicle is an abnormal vehicle, determining the abnormal type of the passing vehicle according to the comparison result; The abnormal vehicle is marked as abnormal according to the abnormality type; wherein the abnormality type includes a first type of abnormality, a second type of abnormality and a third type of abnormality; when the abnormality type is a first type of abnormality, the first vehicle feature is inconsistent with the third vehicle feature, and the first vehicle feature or the third vehicle feature is consistent with the second vehicle feature; when the abnormality type is a second type of abnormality, the first vehicle feature is consistent with the third vehicle feature, and both the first vehicle feature and the third vehicle feature are inconsistent with the second vehicle feature; when the abnormality type is a third type of abnormality, the first vehicle feature, the second vehicle feature and the third vehicle feature are all inconsistent.

[0007] According to the method for identifying abnormal vehicles on highways provided by the present invention, after marking the abnormal vehicles as abnormal according to the abnormal type, the method further comprises: Acquire a first video image corresponding to the first vehicle feature and a second video image corresponding to the third vehicle feature; Marking the first video image and the second video image according to the abnormality type to form an evidence chain of the abnormal vehicle; The evidence chain and abnormally marked abnormal vehicles are sent to a preset terminal for visual display and audit analysis.

[0008] The method for identifying abnormal vehicles on highways provided by the present invention further includes: collecting the third vehicle feature of each passing vehicle entering the service area through the second vehicle monitoring device, and reading the second vehicle feature of the passing vehicle from the passing medium of the passing vehicle based on the second roadside unit arranged in the entrance ramp; The third vehicle feature is associated with the second vehicle feature according to the passing vehicles to construct a vehicle database for entering the service area.

[0009] According to the method for identifying abnormal vehicles on a highway provided by the present invention, after the first roadside unit provided in the exit ramp reads the second vehicle feature of the passing vehicle from the passing medium of the passing vehicle, the method further comprises: If the second vehicle feature is empty, the license plate information in the first vehicle feature is matched with the entry vehicle database, and whether the passing vehicle is an abnormal vehicle is determined according to the matching result; wherein, if the matching result is empty, the passing vehicle is an abnormal vehicle; If the matching result is not empty, the target vehicle feature matched in the matching result is compared with the first vehicle feature, and whether the passing vehicle is an abnormal vehicle is determined based on the consistency between the target vehicle feature and the first vehicle feature.

[0010] According to the method for identifying abnormal vehicles on highways provided by the present invention, after determining whether the passing vehicle is an abnormal vehicle according to the matching result, the method further includes: If the passing vehicle is an abnormal vehicle, the passing vehicle is marked as abnormal according to the abnormal type of the fourth abnormality; After determining whether the passing vehicle is an abnormal vehicle according to the consistency between the target vehicle feature and the first vehicle feature, the method further includes: If the passing vehicle is an abnormal vehicle, the passing vehicle is marked as abnormal according to the abnormal type of the fifth category of abnormality.

[0011] The present invention also provides a device for identifying abnormal vehicles on a highway, comprising the following modules: A first collection module is used to collect first vehicle characteristics of passing vehicles leaving the service area through a first vehicle monitoring device arranged in an exit ramp of the service area; A second acquisition module is used to read a second vehicle feature of the passing vehicle from a passing medium of the passing vehicle based on a first roadside unit provided in the exit ramp; a third acquisition module, configured to acquire a third vehicle feature of the passing vehicle associated with the second vehicle feature; the third vehicle feature is acquired by a second vehicle monitoring device disposed on an entrance ramp of the service area when the passing vehicle enters the service area, and is associated with the second vehicle feature; The screening and identification module is used to determine whether the passing vehicle is an abnormal vehicle according to the consistency of the first vehicle feature, the second vehicle feature and the third vehicle feature.

[0012] The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the method for identifying abnormal vehicles on a highway as described in any one of the above is implemented.

[0013] The present invention also provides a non-transitory computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the method for identifying abnormal vehicles on a highway as described in any one of the above is implemented.

[0014] The present invention also provides a computer program product, comprising a computer program, wherein when the computer program is executed by a processor, the method for identifying abnormal vehicles on a highway as described in any one of the above is implemented.

[0015] The method, device, equipment and storage medium for identifying abnormal vehicles on highways provided by the present invention are to set vehicle monitoring equipment and roadside units on the entrance and exit ramps of the service area, respectively collect vehicle characteristics of passing vehicles when passing vehicles enter and exit the service area, and read the vehicle characteristics pre-stored in the passing medium of the passing vehicles, and determine whether there are abnormal vehicles suspected of evading tolls among the passing vehicles according to the consistency between the vehicle characteristics collected when the passing vehicles enter and exit the service area and the vehicle characteristics pre-stored in the passing medium. By screening and identifying abnormal vehicles suspected of evading tolls in the service area, the identification and control of vehicles traveling in the middle section of the highway are strengthened, which is conducive to improving the timeliness of identification and control of vehicles suspected of evading tolls, facilitating timely response measures, and reducing the occurrence of evasion behaviors. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0017] Figure 1 It is a flow chart of the method for identifying abnormal vehicles on highways provided by the present invention.

[0018] Figure 2 It is a schematic diagram of the regional structure of the expressway service area provided by the present invention.

[0019] Figure 3 The present invention is a schematic diagram of the abnormal vehicle identification process on a highway.

[0020] Figure 4 It is a structural schematic diagram of the device for identifying abnormal vehicles on highways provided by the present invention.

[0021] Figure 5 It is a structural schematic diagram of the electronic device provided by the present invention. DETAILED DESCRIPTION

[0022] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0023] The embodiment of the present invention provides a method for identifying abnormal vehicles on a highway, which is applied to the service area of ​​the highway, and identifies abnormal vehicles with abnormal behaviors related to toll evasion in the service area, and strengthens the control of vehicles traveling on the middle section of the highway, so that before the vehicle reaches the toll station, timely countermeasures can be taken against the abnormal vehicles, thereby improving the timeliness of the identification and control of abnormal vehicles. Specifically, Figure 1 FIG. 1 is a flow chart of a method for identifying abnormal vehicles on a highway provided by the present invention. Figure 1 As shown, the method comprises the following steps: Step 100, collecting first vehicle characteristics of vehicles passing out of the service area through a first vehicle monitoring device disposed in an exit ramp of the service area; Step 200, based on a first roadside unit provided in the exit ramp, reading a second vehicle feature of the passing vehicle from a passing medium of the passing vehicle; Step 300, obtaining a third vehicle feature of the passing vehicle associated with the second vehicle feature; the third vehicle feature is collected by a second vehicle monitoring device disposed on an entrance ramp of the service area when the passing vehicle enters the service area, and is associated with the second vehicle feature; Step 400: Determine whether the passing vehicle is an abnormal vehicle based on the consistency of the first vehicle feature, the second vehicle feature and the third vehicle feature.

[0024] When driving on the highway, vehicles can enter the service area for rest. In the service area, vehicles may have some potential evasion behaviors, such as large vehicles dropping or changing trailers, etc. Therefore, corresponding monitoring equipment is installed on the entrance and exit ramps of the service area to identify potential evasion behaviors before the vehicle reaches the toll station.

[0025] Specifically, a first vehicle monitoring device installed in the exit ramp of the service area collects a first vehicle feature of a passing vehicle leaving the service area, and a second vehicle feature of the passing vehicle is read from the passing medium of the passing vehicle based on a first roadside unit installed in the exit ramp. The first roadside unit may be an RSU (Road Side Unit) antenna.

[0026] Optionally, based on the first roadside unit reading the historical transaction flow in the passing medium of the passing vehicle, a second vehicle feature associated with the passing transaction data is extracted from the historical transaction flow.

[0027] A third vehicle feature of a passing vehicle associated with the second vehicle feature is obtained, where the third vehicle feature is collected by a second vehicle monitoring device disposed on an entrance ramp of the service area when the passing vehicle enters the service area, and is associated with the second vehicle feature.

[0028] In one embodiment, a second vehicle monitoring device and a second roadside unit are provided on the entrance ramp of the service area. When each passing vehicle enters the service area, the third vehicle characteristic of each passing vehicle is collected by the second vehicle monitoring device, and the second vehicle characteristic of the passing vehicle is read from the passing medium of the passing vehicle by the second roadside unit, and the third vehicle characteristic is associated with the second vehicle characteristic.

[0029] Furthermore, a first vehicle monitoring device and a first roadside unit are provided on the exit ramp of the service area. When a passing vehicle exits the service area, a first vehicle characteristic of the passing vehicle is collected by the first vehicle monitoring device provided on the exit ramp, and a second vehicle characteristic of the passing vehicle is read from the passing medium of the passing vehicle by the first roadside unit.

[0030] When a passing vehicle currently exiting the service area is entering the service area, the third vehicle feature collected by the second vehicle monitoring device installed on the entrance ramp is used to determine whether the passing vehicle is an abnormal vehicle based on the consistency of the first vehicle feature, the second vehicle feature and the third vehicle feature. If the first vehicle feature, the second vehicle feature and the third vehicle feature are inconsistent, the passing vehicle is an abnormal vehicle suspected of evading tolls; if the first vehicle feature, the second vehicle feature and the third vehicle feature are consistent, the passing vehicle is a normal vehicle.

[0031] Optionally, the consistency of the first vehicle feature, the second vehicle feature and the third vehicle feature is obtained by comparing the first vehicle feature with the second vehicle feature and the third vehicle feature, specifically by comparing the first vehicle feature, the second vehicle feature and the third vehicle feature in pairs, including comparing the first vehicle feature with the second vehicle feature, comparing the first vehicle feature with the third vehicle feature and comparing the second vehicle feature with the third vehicle feature.

[0032] By comparing the vehicle characteristics of vehicles entering and leaving the service area, and comparing them with the vehicle characteristics pre-stored in the pass medium, it is determined whether there are abnormal vehicles that have dropped or changed their suspension, or whose license plates enter but not exit, thereby identifying potential suspected toll evasion vehicles. When vehicles pass through the middle section of the highway, the identification and control of suspected toll evasion behavior can be strengthened.

[0033] In this embodiment, by setting up vehicle monitoring equipment and roadside units on the entrance and exit ramps of the service area, the vehicle characteristics of the passing vehicles are collected when the passing vehicles enter and exit the service area, and the vehicle characteristics pre-stored in the passing medium of the passing vehicles are read. According to the consistency between the vehicle characteristics collected when the passing vehicles enter and exit the service area and the vehicle characteristics pre-stored in the passing medium, it is determined whether there are abnormal vehicles suspected of evading tolls among the passing vehicles. By screening and identifying abnormal vehicles suspected of evading tolls in the service area, the identification and control of vehicles traveling in the middle section of the highway are strengthened, which is conducive to improving the timeliness of the identification and control of vehicles suspected of evading tolls, facilitating timely response measures, and reducing the occurrence of evasion behaviors.

[0034] Optionally, the consistency of the first vehicle feature, the second vehicle feature, and the third vehicle feature is obtained by feature comparison, and step 400 may further include: Step 401, comparing the first vehicle feature, the second vehicle feature and the third vehicle feature to obtain a comparison result; the comparison result includes a first comparison result between the first vehicle feature and the second vehicle feature, a second comparison result between the first vehicle feature and the third vehicle feature, and a third comparison result between the second vehicle feature and the third vehicle feature; Step 402: Determine whether the passing vehicle is an abnormal vehicle based on the consistency of the first vehicle feature, the second vehicle feature, and the third vehicle feature represented by the comparison result.

[0035] The first vehicle feature, the second vehicle feature and the third vehicle feature are compared to obtain a comparison result, which includes a first comparison result between the first vehicle feature and the second vehicle feature, a second comparison result between the first vehicle feature and the third vehicle feature, and a third comparison result between the second vehicle feature and the third vehicle feature.

[0036] Based on the consistency of the first vehicle feature, the second vehicle feature and the third vehicle feature represented by the comparison result of the first vehicle feature, the second vehicle feature and the third vehicle feature, it is determined whether the passing vehicle is an abnormal vehicle, specifically, whether the passing vehicle is an abnormal vehicle suspected of evading tolls.

[0037] In one embodiment, the first vehicle feature, the second vehicle feature, and the third vehicle feature each include a plurality of feature items, and the first vehicle feature, the second vehicle feature, and the third vehicle feature are compared, specifically, the first vehicle feature, the second vehicle feature, and the third vehicle feature are compared feature item by feature item. Specifically, the feature values ​​of the same feature item in the first vehicle feature, the second vehicle feature, and the third vehicle feature are compared, and if the feature values ​​of the same feature item in the first vehicle feature, the second vehicle feature, and the third vehicle feature are the same, then the feature item of the first vehicle feature, the second vehicle feature, and the third vehicle feature is consistent. If the feature values ​​of all feature items in the first vehicle feature, the second vehicle feature, and the third vehicle feature are the same, then the consistency of the first vehicle feature, the second vehicle feature, and the third vehicle feature is consistent, otherwise, if there is at least one feature item whose feature value in the first vehicle feature, the second vehicle feature, and the third vehicle feature is not completely the same, then the consistency of the first vehicle feature, the second vehicle feature, and the third vehicle feature is inconsistent.

[0038] Optionally, the multiple feature items include at least two of the license plate information, vehicle color, vehicle length, vehicle model and axle, and the license plate information includes the front license plate and the rear license plate. The multiple feature items may also include the passage track of the passing vehicle, and the historical transaction records of each expressway section corresponding to the passage track. According to the historical transaction records of the passing vehicle, it is possible to identify the toll evasion vehicles that have not paid the toll normally, such as those that have entered the expressway but not exited.

[0039] Optionally, if the first vehicle characteristic, the second vehicle characteristic and the third vehicle characteristic are consistent, it is also possible to determine whether the passing vehicle has any toll evasion behavior such as entry without exit based on the passing vehicle's historical transaction records read from the passing medium. If so, the passing vehicle is an abnormal vehicle with toll evasion behavior; if not, the passing vehicle is a normal vehicle.

[0040] Furthermore, when an abnormal vehicle is identified, it is necessary to mark the abnormal vehicle to facilitate subsequent tracking and audit analysis. Based on this, after step 400, the following may also be included: Step 501, if the passing vehicle is an abnormal vehicle, determine the abnormal type of the passing vehicle according to the comparison result; Step 502, marking the abnormal vehicle as abnormal according to the abnormality type; wherein the abnormality type includes a first type of abnormality, a second type of abnormality and a third type of abnormality; when the abnormality type is a first type of abnormality, the first vehicle feature is inconsistent with the third vehicle feature, and the first vehicle feature or the third vehicle feature is consistent with the second vehicle feature; when the abnormality type is a second type of abnormality, the first vehicle feature is consistent with the third vehicle feature, and both the first vehicle feature and the third vehicle feature are inconsistent with the second vehicle feature; when the abnormality type is a third type of abnormality, the first vehicle feature, the second vehicle feature and the third vehicle feature are all inconsistent.

[0041] If the passing vehicle is an abnormal vehicle, the abnormal type of the passing vehicle is determined according to the comparison result, and the abnormal vehicle is marked as abnormal according to the abnormal type. The abnormal types include the first type of abnormality, the second type of abnormality and the third type of abnormality. In the case of the first type of abnormality, the first vehicle feature is inconsistent with the third vehicle feature, and the first vehicle feature or the third vehicle feature is consistent with the second vehicle feature; in the case of the second type of abnormality, the first vehicle feature is consistent with the third vehicle feature, and both the first vehicle feature and the third vehicle feature are inconsistent with the second vehicle feature; in the case of the third type of abnormality, the first vehicle feature, the second vehicle feature and the third vehicle feature are inconsistent.

[0042] Optionally, when the first vehicle feature, the second vehicle feature, and the third vehicle feature all include multiple feature items, under the same type of abnormality, the inconsistent feature items compared are different, and the corresponding abnormality types may also be different. The same type of abnormality may also be subdivided according to different feature items to obtain corresponding abnormal subclasses. That is, after comparing the first vehicle feature, the second vehicle feature, and the third vehicle feature feature item by feature item, it is determined whether the passing vehicle is an abnormal vehicle. If the passing vehicle is an abnormal vehicle, the abnormal type of the abnormal vehicle is determined, and based on the inconsistent feature items compared, the abnormal subclass of the abnormal vehicle under the abnormal type is determined.

[0043] For example, if the number of axles of a vehicle with the same license plate entering the service area is different from the number of axles when leaving the service area, the trailer is suspected of evading tolls by dropping or changing the trailer. If the license plate information in the third vehicle feature associated with the second vehicle feature read from the traffic medium is inconsistent with the license plate information in the first vehicle feature when leaving the service area, the abnormal vehicle is a vehicle that enters but does not leave, and is a potential suspected evasion vehicle that evades tolls by following other vehicles or breaking through checkpoints.

[0044] After marking the abnormal vehicle as abnormal, it is necessary to gather the evidence chain of the abnormal vehicle and conduct an audit analysis on the abnormal vehicle. After step 502, the following may also be included: Step 503, obtaining a first video image corresponding to the first vehicle feature and a second video image corresponding to the third vehicle feature; Step 504, marking the first video image and the second video image according to the abnormality type to form an evidence chain of the abnormal vehicle; Step 505: Send the evidence chain and abnormally marked abnormal vehicles to a preset terminal for visual display and audit analysis.

[0045] A first video image corresponding to a first vehicle feature and a second video image corresponding to a third vehicle feature are obtained, wherein the first video image is acquired by a first vehicle monitoring device disposed on an exit ramp of a service area, and the first vehicle feature is extracted from the first video image, and the second video image is acquired by a second vehicle monitoring device disposed on an entrance ramp of the service area, and the third vehicle feature is extracted from the second video image.

[0046] Furthermore, according to the abnormal type of the abnormal vehicle, the first video image and the second video image are marked to form an evidence chain of the abnormal vehicle, and the evidence chain and the abnormally marked abnormal vehicle are sent to a preset terminal for visual display and audit analysis.

[0047] Optionally, the preset terminal may be a desktop terminal or a mobile terminal, and the visual display of abnormal vehicles may be a dynamic chart.

[0048] In one embodiment, the evidence chain of the converged abnormal vehicle includes video images collected on the entrance and exit ramps when the abnormal vehicle enters and exits the service area, and the abnormal type of the marked abnormal vehicle. Optionally, when marking the first video image and the second video image of the abnormal vehicle, after obtaining the first video image of the first vehicle feature and the second video image of the third vehicle feature, the first shooting time and the first shooting position of the first video image, and the second shooting time and the second shooting position of the second video image can be further obtained. When marking the first video image and the second video image, specifically, the first video image is marked according to the abnormal type, the first shooting time and the first shooting position of the abnormal vehicle, and the second video image is marked according to the abnormal type, the second shooting time and the second shooting position of the abnormal vehicle. Therefore, the evidence chain of the converged abnormal vehicle can further include the shooting time and the shooting position of the video image of the abnormal vehicle entering and exiting the service area.

[0049] In some embodiments, since the length of time that a passing vehicle stays in a service area is random, it is necessary to cache the data collected when the passing vehicle enters the service area. Based on this, the method for identifying abnormal vehicles on a highway provided by an embodiment of the present invention may also include: Step 01, collecting the third vehicle feature of each passing vehicle entering the service area through the second vehicle monitoring device, and reading the second vehicle feature of the passing vehicle from the passing medium of the passing vehicle based on the second roadside unit arranged in the entrance ramp; Step 02: Associating the third vehicle feature with the second vehicle feature according to the passing vehicles to construct a database of vehicles entering the service area.

[0050] The third vehicle feature of each passing vehicle entering the service area is collected through the second vehicle monitoring device installed on the entrance ramp of the service area, and the second vehicle feature of the passing vehicle is read from the passing medium of the passing vehicle based on the second roadside unit installed on the entrance ramp. The collected third vehicle feature is associated with the second vehicle feature according to the passing vehicle to build a vehicle database entering the service area.

[0051] The collected third vehicle feature and the second vehicle feature are associated according to the passing vehicles, specifically, the third vehicle feature and the second vehicle feature of the same passing vehicle are associated.

[0052] It should be noted that the second vehicle feature pre-stored in the passing medium in the passing vehicle is a vehicle feature associated with the passing medium. The vehicle feature is associated with each transaction flow generated by the passing medium. Based on the second vehicle feature in the passing medium, the historical transaction flow of the passing vehicle can be obtained.

[0053] In some cases, such as when the communication quality is poor or the passing medium is in a closed or offline state based on the settings of the passing vehicle driver, the second vehicle characteristic of the passing vehicle may not be read from the passing medium. Based on this, after step 200, the following may also be included: Step 210: if the second vehicle feature is empty, the license plate information in the first vehicle feature is matched with the entry vehicle database, and whether the passing vehicle is an abnormal vehicle is determined according to the matching result; wherein, if the matching result is empty, the passing vehicle is an abnormal vehicle; Step 220: If the matching result is not empty, compare the target vehicle feature matched in the matching result with the first vehicle feature, and determine whether the passing vehicle is an abnormal vehicle based on the consistency between the target vehicle feature and the first vehicle feature.

[0054] If the second vehicle feature of the passing vehicle is empty, that is, the second vehicle feature of the passing vehicle is not read from the passing medium, the license plate information in the first vehicle feature is matched with the constructed vehicle database entering the area, and whether the passing vehicle is an abnormal vehicle is determined according to the matching result. Among them, if the matching result is empty, the license plate information of the passing vehicle when entering the service area is inconsistent with the license plate information when leaving the service area, and it is an abnormal vehicle.

[0055] Furthermore, if the matching result is not empty, and the target vehicle feature collected when the passing vehicle enters the service area can be matched according to the license plate information of the passing vehicle, the target vehicle feature matched in the matching result is compared with the collected first vehicle feature, and whether the passing vehicle is an abnormal vehicle is determined according to the consistency between the target vehicle feature and the first vehicle feature. If the target vehicle feature is consistent with the first vehicle feature, the passing vehicle is a normal passing vehicle, and if the target vehicle feature is inconsistent with the first vehicle feature, the passing vehicle is an abnormal vehicle.

[0056] When the second vehicle feature of the passing vehicle is not read from the passing medium, the license plate information in the first vehicle feature is matched with the entry vehicle database. The abnormality type of the passing vehicle when the matching result is empty is different from the abnormality type when the matching result is not empty but the matched target vehicle feature is inconsistent with the first vehicle feature. Therefore, different methods are needed to mark abnormal vehicles as abnormal.

[0057] In step 210, after determining whether the passing vehicle is an abnormal vehicle according to the matching result, the following steps may also be performed: Step 211, if the passing vehicle is an abnormal vehicle, marking the passing vehicle as abnormal according to the abnormal type of the fourth abnormality; In step 220, after determining whether the passing vehicle is an abnormal vehicle based on the consistency between the target vehicle feature and the first vehicle feature, the following steps may also be performed: Step 221: If the passing vehicle is an abnormal vehicle, the passing vehicle is marked as abnormal according to the abnormality type of the fifth category of abnormality.

[0058] If the matching result of the license plate information in the first vehicle feature and the entry vehicle database is empty, after determining that the passing vehicle is an abnormal vehicle, the passing vehicle is marked as abnormal according to the abnormal type of the fourth abnormality. If the matching result is not empty, but the matched target vehicle feature is inconsistent with the first vehicle feature, after determining that the passing vehicle is an abnormal vehicle, the passing vehicle is marked as abnormal according to the abnormal type of the fifth abnormality.

[0059] Optionally, after marking the abnormal vehicle as abnormal, it is also necessary to gather the evidence chain of the abnormal vehicle and send the evidence chain to a preset terminal for visual display and audit analysis. The gathered evidence chain includes video images collected when the abnormal vehicle enters and exits the service area and marked according to the abnormal type of the abnormal vehicle.

[0060] In one embodiment, referring to Figure 2 The regional structural diagram of the service area, the first vehicle monitoring device and the first roadside unit are arranged on the exit ramp of the service area, and the second vehicle monitoring device and the second roadside unit are arranged on the entrance ramp of the service area. Optionally, the first vehicle monitoring device and the first roadside unit can be arranged sequentially or integrated on the exit ramp; similarly, the second vehicle monitoring device and the second roadside unit can be arranged sequentially or integrated on the entrance ramp.

[0061] Further references Figure 3 The process of identifying abnormal vehicles shown in the figure collects the vehicle characteristics of the vehicles passing through the service area, including collecting the vehicle characteristics of each vehicle entering the service area on the entrance ramp of the service area, that is, the third vehicle characteristics, and reading the vehicle characteristics associated with the transaction flow of the passing vehicle from the passing medium of the passing vehicle, that is, the second vehicle characteristics. The third vehicle characteristics of the same passing vehicle are associated with the second vehicle characteristics to build a database of vehicles entering the service area. And when the passing vehicle leaves the service area, the first vehicle characteristics of the passing vehicle are collected by the first vehicle monitoring device set on the exit ramp, and the second vehicle characteristics of the passing vehicle are read from the passing medium of the passing vehicle based on the first roadside unit.

[0062] Screening and identification are performed based on the collected vehicle characteristics to determine whether there are abnormal vehicles. Specifically, when the second vehicle feature is read by the first roadside unit, the associated third vehicle feature is obtained based on the second vehicle feature, and the first vehicle feature, the second vehicle feature and the third vehicle feature are compared. Based on the consistency of the first vehicle feature, the second vehicle feature and the third vehicle feature, it is determined whether the passing vehicle is an abnormal vehicle.

[0063] Among them, if the first vehicle feature, the second vehicle feature and the third vehicle feature are consistent, the passing vehicle is a normal vehicle; otherwise, if the first vehicle feature, the second vehicle feature and the third vehicle feature are inconsistent, the passing vehicle is an abnormal vehicle.

[0064] In the case where the second vehicle feature of the passing vehicle is not read, the license plate information in the first vehicle feature is matched with the entry vehicle database to obtain the third vehicle feature of the passing vehicle with the same license plate information as the passing vehicle leaving the service area. The matching result of the entry vehicle database is empty or not empty, and whether the passing vehicle is an abnormal vehicle is determined according to the matching result. In the case where the matching result is empty, it means that the license plate information of the passing vehicle entering and leaving the service area is inconsistent, and it is an abnormal vehicle. In the case where the matching result is not empty, the matched vehicle feature is compared with the first vehicle feature to determine the consistency of the matched vehicle feature with the first vehicle feature. If the matched vehicle feature is consistent with the first vehicle feature, the passing vehicle is a normal vehicle. On the contrary, if the matched vehicle feature is inconsistent with the first vehicle feature, the passing vehicle is an abnormal vehicle.

[0065] For abnormal vehicles identified, the video images collected when the vehicles enter and exit the service area and used to extract vehicle features are marked according to the abnormal type of the abnormal vehicles to form an evidence chain of the abnormal vehicles, and the gathered evidence chain is sent to the preset terminal for visual display and audit analysis.

[0066] Further, based on Figure 3 In some embodiments, abnormal vehicles with inconsistent characteristics are charged to determine whether the tolls that the abnormal vehicles need to pay are reduced, thereby determining whether the abnormal vehicles are suspected of being toll evaders. If the abnormal vehicles are suspected of being toll evaders, the suspected toll evaders can be pursued through audit analysis before the abnormal vehicles arrive at the toll station, so as to increase the efforts to pursue the toll evaders.

[0067] It should be noted that the audit and analysis of abnormal vehicles includes but is not limited to obtaining the historical transaction flow of abnormal vehicles and determining whether there is any historical evasion data of fees such as entry without exit in the historical traffic records of abnormal vehicles. If so, the abnormal vehicles will be pursued for evasion and preparations for interception of abnormal vehicles will be made in advance before the abnormal vehicles reach the toll station to prevent them from continuing to evade fees.

[0068] In this embodiment, vehicle monitoring equipment and roadside units are set up at the entrance and exit ramps of the service area to collect vehicle characteristics when the vehicle passes through the service area, and the vehicle characteristics when the vehicle enters the service area are compared with the vehicle characteristics when the vehicle leaves the service area; based on the consistency between the vehicle characteristics when the vehicle enters and exits the service area and the vehicle characteristics read from the passing medium, it is determined whether the passing vehicle is an abnormal vehicle, thereby strengthening the identification and control of toll evasion behaviors in the middle section of the expressway, and timely countermeasures can be taken for potential toll evasion behaviors, reducing the occurrence of toll evasion behaviors, and improving the timeliness of the identification and control of toll evasion vehicles.

[0069] Furthermore, for the abnormal vehicles identified, by gathering the evidence chain for visual display and audit analysis, rapid audit of abnormal vehicles can be achieved, which can accurately and efficiently crack down on and stop the toll evasion behavior of abnormal vehicles and standardize the toll payment behavior of vehicles passing through highways.

[0070] The abnormal highway vehicle identification device provided by the present invention is described below. The abnormal highway vehicle identification device described below and the abnormal highway vehicle identification method described above can be referred to each other.

[0071] Reference Figure 4 The abnormal vehicle identification device on a highway provided by the embodiment of the present invention comprises: The first collection module 10 is used to collect first vehicle characteristics of vehicles passing out of the service area through a first vehicle monitoring device arranged in the exit ramp of the service area; A second acquisition module 20 is used to read a second vehicle feature of the passing vehicle from a passing medium of the passing vehicle based on a first roadside unit provided in the exit ramp; A third acquisition module 30 is used to acquire a third vehicle feature of the passing vehicle associated with the second vehicle feature; the third vehicle feature is acquired by a second vehicle monitoring device disposed on an entrance ramp of the service area when the passing vehicle enters the service area, and is associated with the second vehicle feature; The screening and identification module 40 is used to determine whether the passing vehicle is an abnormal vehicle according to the consistency of the first vehicle feature, the second vehicle feature and the third vehicle feature.

[0072] In one embodiment, the screening and identification module 40 is further used to: Comparing the first vehicle feature, the second vehicle feature and the third vehicle feature to obtain a comparison result; the comparison result includes a first comparison result between the first vehicle feature and the second vehicle feature, a second comparison result between the first vehicle feature and the third vehicle feature, and a third comparison result between the second vehicle feature and the third vehicle feature; Whether the passing vehicle is an abnormal vehicle is determined based on the consistency of the first vehicle feature, the second vehicle feature, and the third vehicle feature represented by the comparison result.

[0073] In one embodiment, the abnormal vehicle identification device on the highway further includes an evidence aggregation module for: If the passing vehicle is an abnormal vehicle, determining the abnormal type of the passing vehicle according to the comparison result; The abnormal vehicle is marked as abnormal according to the abnormality type; wherein the abnormality type includes a first type of abnormality, a second type of abnormality and a third type of abnormality; when the abnormality type is a first type of abnormality, the first vehicle feature is inconsistent with the third vehicle feature, and the first vehicle feature or the third vehicle feature is consistent with the second vehicle feature; when the abnormality type is a second type of abnormality, the first vehicle feature is consistent with the third vehicle feature, and both the first vehicle feature and the third vehicle feature are inconsistent with the second vehicle feature; when the abnormality type is a third type of abnormality, the first vehicle feature, the second vehicle feature and the third vehicle feature are all inconsistent.

[0074] In one embodiment, the evidence aggregation module is further used to: Acquire a first video image corresponding to the first vehicle feature and a second video image corresponding to the third vehicle feature; Marking the first video image and the second video image according to the abnormality type to form an evidence chain of the abnormal vehicle; The evidence chain and abnormally marked abnormal vehicles are sent to a preset terminal for visual display and audit analysis.

[0075] In one embodiment, the abnormal vehicle identification device on the highway further includes a data storage module for: collecting the third vehicle feature of each passing vehicle entering the service area through the second vehicle monitoring device, and reading the second vehicle feature of the passing vehicle from the passing medium of the passing vehicle based on the second roadside unit arranged in the entrance ramp; The third vehicle feature is associated with the second vehicle feature according to the passing vehicles to construct a vehicle database for entering the service area.

[0076] In one embodiment, the screening and identification module 40 is further used to: If the second vehicle feature is empty, the license plate information in the first vehicle feature is matched with the entry vehicle database, and whether the passing vehicle is an abnormal vehicle is determined according to the matching result; wherein, if the matching result is empty, the passing vehicle is an abnormal vehicle; If the matching result is not empty, the target vehicle feature matched in the matching result is compared with the first vehicle feature, and whether the passing vehicle is an abnormal vehicle is determined based on the consistency between the target vehicle feature and the first vehicle feature.

[0077] In one embodiment, the evidence aggregation module is further used to: After determining whether the passing vehicle is an abnormal vehicle according to the matching result, if the passing vehicle is an abnormal vehicle, marking the passing vehicle as abnormal according to the abnormal type of the fourth abnormality; After determining whether the passing vehicle is an abnormal vehicle based on the consistency between the target vehicle feature and the first vehicle feature, if the passing vehicle is an abnormal vehicle, the passing vehicle is marked as abnormal according to the abnormality type of the fifth category of abnormality.

[0078] Figure 5 An example of a physical structure diagram of an electronic device is shown in FIG. Figure 5 As shown, the electronic device may include: a processor 510, a communications interface 520, a memory 530 and a communication bus 540, wherein the processor 510, the communications interface 520 and the memory 530 communicate with each other via the communication bus 540. The processor 510 may call the logic instructions in the memory 530 to execute the method for identifying abnormal vehicles on a highway, and the method includes: collecting first vehicle characteristics of vehicles passing out of the service area through a first vehicle monitoring device disposed in an exit ramp of the service area; Based on a first roadside unit disposed in the exit ramp, reading a second vehicle feature of the passing vehicle from a passing medium of the passing vehicle; Acquire a third vehicle feature of the passing vehicle associated with the second vehicle feature; the third vehicle feature is collected by a second vehicle monitoring device disposed on an entrance ramp of the service area when the passing vehicle enters the service area, and is associated with the second vehicle feature; Whether the passing vehicle is an abnormal vehicle is determined according to the consistency of the first vehicle feature, the second vehicle feature and the third vehicle feature.

[0079] In addition, the logic instructions in the above-mentioned memory 530 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0080] On the other hand, the present invention further provides a computer program product, the computer program product includes a computer program, the computer program can be stored in a non-transitory computer-readable storage medium, when the computer program is executed by a processor, the computer can execute the highway abnormal vehicle identification method provided by the above methods, the method includes: collecting first vehicle characteristics of vehicles passing out of the service area through a first vehicle monitoring device disposed in an exit ramp of the service area; Based on a first roadside unit disposed in the exit ramp, reading a second vehicle feature of the passing vehicle from a passing medium of the passing vehicle; Acquire a third vehicle feature of the passing vehicle associated with the second vehicle feature; the third vehicle feature is collected by a second vehicle monitoring device disposed on an entrance ramp of the service area when the passing vehicle enters the service area, and is associated with the second vehicle feature; Whether the passing vehicle is an abnormal vehicle is determined according to the consistency of the first vehicle feature, the second vehicle feature and the third vehicle feature.

[0081] In another aspect, the present invention further provides a non-transitory computer-readable storage medium having a computer program stored thereon, which is implemented when the computer program is executed by a processor to perform the method for identifying abnormal vehicles on highways provided by the above methods, the method comprising: collecting first vehicle characteristics of vehicles passing out of the service area through a first vehicle monitoring device disposed in an exit ramp of the service area; Based on a first roadside unit disposed in the exit ramp, reading a second vehicle feature of the passing vehicle from a passing medium of the passing vehicle; Acquire a third vehicle feature of the passing vehicle associated with the second vehicle feature; the third vehicle feature is collected by a second vehicle monitoring device disposed on an entrance ramp of the service area when the passing vehicle enters the service area, and is associated with the second vehicle feature; Whether the passing vehicle is an abnormal vehicle is determined according to the consistency of the first vehicle feature, the second vehicle feature and the third vehicle feature.

[0082] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0083] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0084] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for identifying abnormal vehicles on a highway, characterized in that: include: collecting first vehicle characteristics of vehicles passing out of the service area through a first vehicle monitoring device disposed in an exit ramp of the service area; Based on a first roadside unit disposed in the exit ramp, reading a second vehicle feature of the passing vehicle from a passing medium of the passing vehicle; Acquire a third vehicle feature of the passing vehicle associated with the second vehicle feature; the third vehicle feature is collected by a second vehicle monitoring device disposed on an entrance ramp of the service area when the passing vehicle enters the service area, and is associated with the second vehicle feature; Whether the passing vehicle is an abnormal vehicle is determined according to the consistency of the first vehicle feature, the second vehicle feature and the third vehicle feature.

2. The method for identifying abnormal vehicles on highways according to claim 1, characterized in that: The determining whether the passing vehicle is an abnormal vehicle according to the consistency of the first vehicle feature, the second vehicle feature and the third vehicle feature includes: Comparing the first vehicle feature, the second vehicle feature and the third vehicle feature to obtain a comparison result; the comparison result includes a first comparison result between the first vehicle feature and the second vehicle feature, a second comparison result between the first vehicle feature and the third vehicle feature, and a third comparison result between the second vehicle feature and the third vehicle feature; Whether the passing vehicle is an abnormal vehicle is determined based on the consistency of the first vehicle feature, the second vehicle feature, and the third vehicle feature represented by the comparison result.

3. The method for identifying abnormal vehicles on highways according to claim 2, characterized in that: After determining whether the passing vehicle is an abnormal vehicle according to the consistency of the first vehicle feature, the second vehicle feature and the third vehicle feature, the method further includes: If the passing vehicle is an abnormal vehicle, determining the abnormal type of the passing vehicle according to the comparison result; The abnormal vehicle is marked as abnormal according to the abnormality type; wherein the abnormality type includes a first type of abnormality, a second type of abnormality and a third type of abnormality; when the abnormality type is a first type of abnormality, the first vehicle feature is inconsistent with the third vehicle feature, and the first vehicle feature or the third vehicle feature is consistent with the second vehicle feature; when the abnormality type is a second type of abnormality, the first vehicle feature is consistent with the third vehicle feature, and both the first vehicle feature and the third vehicle feature are inconsistent with the second vehicle feature; when the abnormality type is a third type of abnormality, the first vehicle feature, the second vehicle feature and the third vehicle feature are all inconsistent.

4. The method for identifying abnormal vehicles on highways according to claim 3, characterized in that: After marking the abnormal vehicle as abnormal according to the abnormal type, the method further includes: Acquire a first video image corresponding to the first vehicle feature and a second video image corresponding to the third vehicle feature; Marking the first video image and the second video image according to the abnormality type to form an evidence chain of the abnormal vehicle; The evidence chain and abnormally marked abnormal vehicles are sent to a preset terminal for visual display and audit analysis.

5. The method for identifying abnormal vehicles on highways according to claim 1, characterized in that: Also includes: collecting the third vehicle feature of each passing vehicle entering the service area through the second vehicle monitoring device, and reading the second vehicle feature of the passing vehicle from the passing medium of the passing vehicle based on the second roadside unit arranged in the entrance ramp; The third vehicle feature is associated with the second vehicle feature according to the passing vehicles to construct a vehicle database for entering the service area.

6. The method for identifying abnormal vehicles on highways according to claim 5, characterized in that: After reading the second vehicle feature of the passing vehicle from the passing medium of the passing vehicle based on the first roadside unit arranged in the exit ramp, the method further includes: If the second vehicle feature is empty, the license plate information in the first vehicle feature is matched with the entry vehicle database, and whether the passing vehicle is an abnormal vehicle is determined according to the matching result; wherein, if the matching result is empty, the passing vehicle is an abnormal vehicle; If the matching result is not empty, the target vehicle feature matched in the matching result is compared with the first vehicle feature, and whether the passing vehicle is an abnormal vehicle is determined based on the consistency between the target vehicle feature and the first vehicle feature.

7. The method for identifying abnormal vehicles on highways according to claim 6, characterized in that: After determining whether the passing vehicle is an abnormal vehicle according to the matching result, the method further includes: If the passing vehicle is an abnormal vehicle, the passing vehicle is marked as abnormal according to the abnormal type of the fourth abnormality; After determining whether the passing vehicle is an abnormal vehicle according to the consistency between the target vehicle feature and the first vehicle feature, the method further includes: If the passing vehicle is an abnormal vehicle, the passing vehicle is marked as abnormal according to the abnormal type of the fifth category of abnormality.

8. A device for identifying abnormal vehicles on a highway, characterized in that: include: A first collection module is used to collect first vehicle characteristics of passing vehicles leaving the service area through a first vehicle monitoring device arranged in an exit ramp of the service area; A second acquisition module is used to read a second vehicle feature of the passing vehicle from a passing medium of the passing vehicle based on a first roadside unit provided in the exit ramp; a third acquisition module, configured to acquire a third vehicle feature of the passing vehicle associated with the second vehicle feature; the third vehicle feature is acquired by a second vehicle monitoring device disposed on an entrance ramp of the service area when the passing vehicle enters the service area, and is associated with the second vehicle feature; The screening and identification module is used to determine whether the passing vehicle is an abnormal vehicle according to the consistency of the first vehicle feature, the second vehicle feature and the third vehicle feature.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the method for identifying abnormal vehicles on highways as described in any one of claims 1 to 7 is implemented.

10. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for identifying abnormal vehicles on highways as described in any one of claims 1 to 7 is implemented.

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