Highway toll evasion vehicle identification method, device, system and equipment and medium

Abstract

The invention relates to the technical field of intelligent traffic, and provides a highway toll evasion vehicle identification method, device, system and equipment and a medium, and the method comprises the steps: collecting the first vehicle feature information of any passing vehicle entering a toll station exit ramp, an exit lane log and billing transaction information, obtaining second vehicle feature information associated with the charging transaction information; and based on the consistency of the first vehicle feature information and the second vehicle feature information, determining whether the passing vehicle is a potential vehicle having a fee evasion behavior, and if yes, performing abnormality analysis on a vehicle passing event of an exit lane log according to the vehicle information of the potential vehicle, and determining whether the potential vehicle has a fee evasion behavior. According to the technical scheme of the invention, the features of the passing vehicle and the exit lane log are collected at the exit ramp, so that the vehicle with the fee evasion behavior can be accurately and efficiently recognized when the vehicle passes through the exit ramp and the transaction process, the follow-up auditing and resuming of the fee evasion vehicle are facilitated, and the auditing efficiency and resuming strength of the fee evasion vehicle are improved.

Description

Technical Field

[0001] The present invention relates to the field of intelligent transportation technology, and in particular to a method, device, system, equipment and medium for identifying vehicles that evade tolls on expressways. Background Art

[0002] With the emergence and continuous optimization of emerging technologies, the functions, performance, reliability and stability of highway self-service terminals have made great progress. The toll collection mode of highways has also entered the intelligent era, and the toll collection mode of unmanned toll stations has shown a trend of popularization. In the unmanned smart toll station mode, self-service terminals replace manual card issuing toll booths, reducing the seat supervision of toll collectors at toll stations. Vehicles are increasingly evading tolls at toll station exits by changing vehicle models, following other vehicles, and breaking through checkpoints.

[0003] At present, vehicles that evade tolls can only be recovered through post-audit. However, since the self-service access terminal only captures the front and rear license plate information of the vehicle in the exit lane, it is impossible to accurately and efficiently identify vehicles that evade tolls during the post-audit business, which limits the efforts to recover the vehicles that evade tolls. Summary of the invention

[0004] The present invention provides a method, device, system, equipment and medium for identifying toll-evading vehicles on highways, so as to solve the defects in the prior art that accurate and efficient identification of toll-evading vehicles is impossible, and the efforts to recover toll-evading vehicles are limited.

[0005] The present invention provides a method for identifying a toll-evading vehicle on a highway, comprising the following steps: Collecting first vehicle characteristic information, exit lane log and billing transaction information of a passing vehicle; the passing vehicle is any vehicle entering the exit ramp of a toll station, the first vehicle characteristic information is obtained by extracting a vehicle video image, the vehicle video image is captured based on a capture device installed on the exit ramp, and the billing transaction information is generated by a billing transaction performed on the passing vehicle by a billing device installed on the exit ramp; the exit lane log is a vehicle passing event generated when a vehicle passes through an exit lane; Acquiring second vehicle characteristic information associated with the charging transaction information; Based on the consistency between the first vehicle characteristic information and the second vehicle characteristic information, determining whether the passing vehicle is a potential vehicle for toll evasion; If so, an abnormal analysis is performed on the vehicle passing events in the exit lane log based on the vehicle information of the potential vehicle to determine whether the potential vehicle has evaded tolls.

[0006] According to the method for identifying a toll-evading vehicle on a highway provided by the present invention, the first vehicle characteristic information and the second vehicle characteristic information both include a plurality of characteristic items, and the plurality of characteristic items include at least two of license plate information, vehicle color, vehicle length, vehicle model, and axle; the toll-evading behavior includes changing vehicle characteristics; and determining whether the passing vehicle is a potential vehicle for toll-evading behavior based on the consistency between the first vehicle characteristic information and the second vehicle characteristic information includes: Comparing each feature item of the first vehicle feature information with each feature item of the second vehicle feature information to obtain comparison results of multiple feature items; the comparison result of any of the feature items is used to indicate whether a first feature value of the feature item in the first vehicle feature information is consistent with a second feature value in the second vehicle feature information; Determining consistency between the first vehicle characteristic information and the second vehicle characteristic information according to a comparison result of each of the characteristic items; Based on the consistency between the first vehicle characteristic information and the second vehicle characteristic information, determine whether the passing vehicle is a potential vehicle with changed vehicle characteristics; wherein, if the first vehicle characteristic information is inconsistent with the second vehicle characteristic information, the passing vehicle is a potential vehicle with changed vehicle characteristics.

[0007] According to the method for identifying toll evading vehicles on highways provided by the present invention, the toll evasion behavior also includes following a car or breaking through a checkpoint; the determining whether the passing vehicle is a potential vehicle for toll evasion based on the consistency between the first vehicle feature information and the second vehicle feature information includes: If the first vehicle characteristic information is consistent with the second vehicle characteristic information, it is determined whether the passing vehicle generates a passing transaction flow based on the billing transaction information to determine whether the passing vehicle is a potential vehicle that follows or breaks through.

[0008] According to the highway toll evasion vehicle identification method provided by the present invention, the collection of first vehicle feature information, exit lane log and billing transaction information of passing vehicles includes: Collecting video images of passing vehicles; the video images are captured by a capture device disposed on the exit ramp when the passing vehicle is in the capture area of ​​the exit ramp of the toll station; Acquire an exit lane log of an exit lane, and extract first vehicle feature information of the passing vehicle from the video image; When the passing vehicle is in the transaction area of ​​the exit ramp, the billing transaction information of the passing vehicle is obtained through the billing device set on the exit ramp; the billing transaction information is generated by the billing device communicating with the passing medium of the passing vehicle to perform a billing transaction on the passing vehicle.

[0009] According to the method for identifying toll evading vehicles on expressways provided by the present invention, after performing abnormal analysis on the vehicle passing events in the exit lane log based on the vehicle information of the potential vehicle and determining whether the potential vehicle has toll evasion behavior, the method further includes: If the potential vehicle is an abnormal vehicle that has evaded tolls, obtaining the capture position and capture time of the vehicle video image of the abnormal vehicle; Marking the vehicle video image of the abnormal vehicle based on the capture location and the capture time, and marking and classifying and storing the first vehicle feature information and charging transaction information of the abnormal vehicle to form an evidence chain of the abnormal vehicle; The chain of evidence is sent to a preset audit terminal for audit analysis to conduct a post-audit of the abnormal vehicle.

[0010] According to the method for identifying toll evading vehicles on expressways provided by the present invention, after performing abnormal analysis on the vehicle passing events in the exit lane log based on the vehicle information of the potential vehicle and determining whether the potential vehicle has toll evasion behavior, the method further includes: If the potential vehicle is an abnormal vehicle that has engaged in toll evasion, the abnormal vehicle will be intercepted on the spot.

[0011] The present invention also provides a device for identifying vehicles that evade tolls on expressways, comprising the following modules: A data collection module is used to collect first vehicle characteristic information, exit lane log and billing transaction information of a passing vehicle; the passing vehicle is any vehicle entering the exit ramp of a toll station, the first vehicle characteristic information is obtained by extracting a vehicle video image, the vehicle video image is obtained by capturing a capture device installed on the exit ramp, and the billing transaction information is generated by a billing transaction performed on the passing vehicle by a billing device installed on the exit ramp; the exit lane log is a vehicle passing event generated when a vehicle passes through an exit lane; An associated data acquisition module, used to acquire second vehicle characteristic information associated with the charging transaction information; a toll evasion identification module, configured to determine whether the passing vehicle is a potential vehicle for toll evasion based on the consistency between the first vehicle characteristic information and the second vehicle characteristic information; If so, an abnormal analysis is performed on the vehicle passing events in the exit lane log based on the vehicle information of the potential vehicle to determine whether the potential vehicle has evaded tolls.

[0012] The present invention also provides a highway toll evasion vehicle identification system, comprising a capture device, a charging device and a toll evasion vehicle identification device, wherein the capture device and the charging device are arranged on the exit ramp of the highway toll station, wherein: The capture device is used to capture a vehicle video image of the passing vehicle when the passing vehicle enters the capture area of ​​the exit ramp; The charging device is used to communicate with the passing medium of the passing vehicle when the passing vehicle is in the transaction area of ​​the exit ramp, so as to perform a charging transaction on the passing vehicle and generate charging transaction information of the passing vehicle; The toll evasion vehicle identification device is used for: Collecting the billing transaction information and exit lane log of the passing vehicle, and collecting the first vehicle feature information of the passing vehicle from the vehicle video image; the exit lane log is a vehicle passing event generated when the vehicle passes through the exit lane; Acquiring second vehicle characteristic information associated with the charging transaction information; Based on the consistency between the first vehicle characteristic information and the second vehicle characteristic information, determining whether the passing vehicle is a potential vehicle for toll evasion; If so, an abnormal analysis is performed on the vehicle passing events in the exit lane log based on the vehicle information of the potential vehicle to determine whether the potential vehicle has evaded tolls.

[0013] 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 a vehicle that evades tolls on a highway as described above is implemented.

[0014] 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 a highway toll evading vehicle as described in any one of the above is implemented.

[0015] The present invention also provides a computer program product, comprising a computer program, which, when executed by a processor, implements any of the above-mentioned methods for identifying vehicles that evade highway tolls.

[0016] The method, device, system, equipment and medium for identifying toll-evading vehicles on highways provided by the present invention, by setting a capture device and a billing device on the exit ramp of a toll station, collecting first vehicle characteristic information, an exit lane log and billing transaction information of passing vehicles in the process of the vehicles passing through the exit ramp, and obtaining second vehicle characteristic information associated with the billing transaction information, comparing the first vehicle characteristic information with the second vehicle characteristic information, and determining potential vehicles with toll-evading behavior among passing vehicles based on the consistency of the first vehicle characteristic information and the second vehicle characteristic information, and performing an abnormal analysis of the passing events in the exit lane log based on the vehicle information of the potential vehicles to determine whether the potential vehicles have toll-evading behavior, and can accurately and efficiently identify whether the passing vehicles are toll-evading vehicles in the process of the vehicles passing through the exit ramp and the payment transaction, which is convenient for subsequent audit and recovery of toll-evading vehicles, and improves the audit efficiency and recovery strength of toll-evading vehicles. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] 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.

[0018] Figure 1 The present invention is a flowchart of a method for identifying a toll-evading vehicle on a highway.

[0019] Figure 2 It is a schematic diagram of the regional structure of the toll station provided by the present invention.

[0020] Figure 3 The present invention provides a schematic diagram of the process of identifying toll-evading vehicles on expressways.

[0021] Figure 4 The present invention is a schematic diagram of the structure of the device for identifying toll-evading vehicles on expressways.

[0022] Figure 5 It is a structural schematic diagram of the electronic device provided by the present invention. DETAILED DESCRIPTION

[0023] 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.

[0024] The embodiment of the present invention provides a method for identifying toll-evading vehicles on expressways, which is applied to toll stations on expressways. When vehicles enter toll stations, vehicles with toll-evading behaviors are identified, which can achieve accurate and efficient identification of toll-evading vehicles, and facilitate timely on-site interception and subsequent audit and recovery of toll-evading vehicles. Specifically, Figure 1 FIG. 1 is a flow chart of a method for identifying a toll-evading vehicle on a highway provided by the present invention. Figure 1 As shown, the method comprises the following steps: Step 100, collecting first vehicle characteristic information, exit lane log and billing transaction information of a passing vehicle; the passing vehicle is any vehicle entering the exit ramp of a toll station, the first vehicle characteristic information is obtained by extracting a vehicle video image, the vehicle video image is captured by a capture device installed on the exit ramp, and the billing transaction information is generated by a billing transaction performed on the passing vehicle by a billing device installed on the exit ramp; the exit lane log is a vehicle passing event generated when a vehicle passes through an exit lane; Step 200, obtaining second vehicle characteristic information associated with the charging transaction information; Step 300, based on the consistency between the first vehicle characteristic information and the second vehicle characteristic information, determining whether the passing vehicle is a potential vehicle for toll evasion; Step 400: If yes, perform an abnormal analysis on the vehicle passing events in the exit lane log based on the vehicle information of the potential vehicle to determine whether the potential vehicle has evaded tolls.

[0025] The first vehicle characteristic information, exit lane log and billing transaction information of the passing vehicles are collected, wherein the first vehicle characteristic information and the billing transaction information can be collected at the same time, or can be collected at different times according to the driving trajectory of the passing vehicles in the exit ramp of the toll station.

[0026] Optionally, a passing vehicle is any vehicle entering an exit ramp of a toll station, and the first vehicle characteristic information is extracted from a vehicle video image of the passing vehicle, and the vehicle video image is captured based on a capture device installed on the exit ramp, and the billing transaction information is generated by a billing transaction performed on the passing vehicle by the billing device installed on the exit ramp; the exit lane log is a passing event generated when a vehicle passes through an exit lane, and the obtained exit lane log is specifically the exit lane log when the current passing vehicle passes through the exit lane, or, it is the exit lane log in a historical time period before and after the current passing vehicle passes through the exit lane.

[0027] Furthermore, after passing the exit ramp, the passing vehicle enters the toll plaza, which is provided with multiple exit lanes. The passing vehicle leaves the toll station through the exit lanes. When the passing vehicle passes through the exit lanes, a passing event of the passing vehicle in the exit lanes is generated, and an exit lane log is obtained. The obtained exit lane log is the passing event of multiple exit lanes in the toll plaza, including the passing event of the passing vehicle passing through the exit lanes. In one embodiment, the obtained exit lane log may also include the historical passing event of the passing vehicle.

[0028] Optionally, the capture device is such as a panoramic camera, and the billing device is such as a billing gantry.

[0029] In one embodiment, the capture device and the billing device are sequentially arranged on the exit ramp of the toll station. The exit ramp is sequentially provided with a capture area corresponding to the capture device and a billing transaction area corresponding to the billing device. When passing through the exit ramp, the passing vehicle passes through the capture area and the billing transaction area sequentially. After the passing vehicle enters the capture area, the capture device captures a video image of the passing vehicle, and the first vehicle feature information of the passing vehicle is extracted based on the vehicle video image captured by the capture device. After the passing vehicle enters the billing transaction area, the billing device performs a billing transaction on the passing vehicle and generates the billing transaction information of the passing vehicle.

[0030] In another embodiment, the capture device and the charging device are integrated on the exit ramp of the toll station, and the exit ramp is provided with target areas corresponding to the capture device and the charging device. When a passing vehicle passes through the exit ramp and enters the target area, the capture device captures a video image of the passing vehicle, and extracts the first vehicle feature information of the passing vehicle based on the captured vehicle video image. At the same time, the charging device performs a charging transaction on the passing vehicle and generates charging transaction information of the passing vehicle.

[0031] Furthermore, second vehicle characteristic information associated with the billing transaction information of the passing vehicle is obtained, the collected first vehicle characteristic information is compared with the obtained second vehicle characteristic information, and based on the consistency between the first vehicle characteristic information and the second vehicle characteristic information, it is determined whether the passing vehicle is a potential vehicle that evades fees.

[0032] For the self-service access terminal at the highway toll station, the passing vehicle is usually provided with a passing medium, and the billing device communicates with the passing medium of the passing vehicle to realize the billing and transaction of the passing vehicle and generate the billing transaction information of the passing vehicle. Optionally, the second vehicle characteristic information is pre-stored in the passing medium and is associated with the actual vehicle characteristics of the passing vehicle. During the process of billing the passing vehicle, the billing device reads the vehicle characteristic information for the billing transaction from the passing medium to obtain the second vehicle characteristic information of the passing vehicle.

[0033] The first vehicle characteristic information is compared with the second vehicle characteristic information to determine the consistency between the first vehicle characteristic information and the second vehicle characteristic information. If the first vehicle characteristic information is inconsistent with the second vehicle characteristic information, it means that the passing vehicle has evaded the fee by changing the vehicle characteristics, and the passing vehicle is a potential vehicle suspected of evading the fee.

[0034] Furthermore, for potential vehicles suspected of evading charges, abnormal analysis is performed on the vehicle passing events in the obtained exit lane log based on the vehicle information of the potential vehicle, thereby further evading charges analysis is performed on the potential vehicle to determine whether the potential vehicle is an abnormal vehicle with evading charges, thereby avoiding misjudgment of the evading charges of the passing vehicle. The vehicle information of the potential vehicle at least includes the first vehicle characteristic information.

[0035] In this embodiment, by setting up a capture device and a billing device on the exit ramp of the toll station, the first vehicle characteristic information, the exit lane log and the billing transaction information of the passing vehicle are collected in the process of the vehicle passing through the exit ramp, and the second vehicle characteristic information associated with the billing transaction information is obtained, and the first vehicle characteristic information is compared with the second vehicle characteristic information. Based on the consistency of the first vehicle characteristic information and the second vehicle characteristic information, it is determined whether there is a potential vehicle that evades the fee among the passing vehicles. For the potential vehicle that evades the fee, the passing events of the obtained exit lane log are further analyzed for abnormalities according to the vehicle information of the potential vehicle to determine whether the potential vehicle has evaded the fee. In the process of the vehicle passing through the exit ramp and the payment transaction, it is possible to accurately and efficiently identify whether the passing vehicle is a vehicle that evades the fee, which is convenient for the subsequent audit and recovery of the vehicle that evades the fee, thereby improving the audit efficiency and recovery of the vehicle that evades the fee.

[0036] In one embodiment, the first vehicle characteristic information, the exit lane log, and the charging transaction information of the passing vehicle are collected in sequence when the passing vehicle passes through the exit ramp of the toll station. Step 100 further includes: Step 101, collecting a video image of a passing vehicle; the video image is captured by a capture device disposed on the exit ramp when the passing vehicle is in a capture area of ​​the exit ramp of a toll station; Step 102, obtaining an exit lane log of an exit lane, and extracting first vehicle feature information of the passing vehicle from the video image; Step 103, when the passing vehicle is in the transaction area of ​​the exit ramp, the billing transaction information of the passing vehicle is obtained through the billing device set on the exit ramp; the billing transaction information is generated by the billing device communicating with the passing medium of the passing vehicle to perform a billing transaction on the passing vehicle.

[0037] For the first vehicle characteristic information of the passing vehicle, a video image of the passing vehicle is collected. The video image is obtained by capturing the passing vehicle by a capturing device installed on the exit ramp when the passing vehicle is in the capturing area of ​​the exit ramp of the toll station. The first vehicle characteristic information of the passing vehicle is extracted from the captured video image.

[0038] Optionally, when a passing vehicle enters an exit lane through an exit ramp, an exit lane log of the passing vehicle during the period of passing through the exit lane is obtained. Specifically, the exit lane log within a historical time period of a preset length is obtained, and the exit lane log includes passing events of currently passing vehicles. According to the vehicle information of the potential vehicle, an abnormality analysis is performed on the passing events in the obtained exit lane log to determine whether there is an abnormal passing event, thereby further determining whether the potential vehicle has evaded tolls.

[0039] For the billing transaction information, when the passing vehicle is in the transaction area of ​​the exit ramp, the billing transaction information of the passing vehicle is obtained through the billing device installed on the exit ramp. The billing transaction information is generated by the billing device communicating with the passing medium of the passing vehicle and performing a billing transaction on the passing vehicle. Optionally, the billing transaction information of the passing vehicle is used to indicate whether the passing vehicle has completed the payment, and after the passing vehicle completes the payment transaction, the billing transaction information also includes the transaction flow data of the passing vehicle.

[0040] The first vehicle characteristic information and the second vehicle characteristic information of the passing vehicle may include multiple characteristic items such as license plate information, vehicle color, vehicle length, vehicle model and axle. When collecting the first vehicle characteristic information of the passing vehicle from the captured video image, different characteristic items can be extracted in different ways. For example, the license plate information of the passing vehicle is extracted from the captured video image by OCR (Optical Character Recognition) technology, and the license plate information includes the front license plate and the parking license plate. The vehicle color can be determined by the pixel value of the image area corresponding to the passing vehicle in the captured video image, the vehicle model can be obtained by extracting and identifying the contour of the passing vehicle, and the vehicle length and axle can be calculated based on the capture depth of the passing vehicle and the equipment parameters of the capture device.

[0041] Furthermore, the first vehicle characteristic information and the second vehicle characteristic information each include a plurality of characteristic items, the plurality of characteristic items including at least two of license plate information, vehicle color, vehicle length, vehicle model, and axle, and the toll evasion behavior of the passing vehicle includes changing the vehicle characteristics. When comparing the first vehicle characteristic information with the second vehicle characteristic information, each characteristic item in the first vehicle characteristic information is compared with the same characteristic item in the second vehicle characteristic information one by one, therefore, step 300 may also include: Step 301, comparing each feature item of the first vehicle feature information with each feature item of the second vehicle feature information to obtain comparison results of multiple feature items; the comparison result of any of the feature items is used to indicate whether a first feature value of the feature item in the first vehicle feature information is consistent with a second feature value in the second vehicle feature information; Step 302, determining the consistency between the first vehicle characteristic information and the second vehicle characteristic information according to the comparison results of the characteristic items; Step 303, based on the consistency between the first vehicle characteristic information and the second vehicle characteristic information, determine whether the passing vehicle is a potential vehicle with changed vehicle characteristics; wherein, if the first vehicle characteristic information is inconsistent with the second vehicle characteristic information, the passing vehicle is a potential vehicle with changed vehicle characteristics.

[0042] Based on multiple feature items in the first vehicle feature information and the second vehicle feature information, such as license plate information, vehicle color, vehicle length, vehicle model and axle, each feature item in the first vehicle feature information is compared with each feature item in the second vehicle feature information to obtain comparison results of multiple feature items. The comparison result of any feature item is used to characterize whether the first feature value of the feature item in the first vehicle feature information is consistent with its second feature value in the second vehicle feature information. According to the comparison results of each feature item, the consistency of the first vehicle feature information and the second vehicle feature information is determined, and based on the consistency of the first vehicle feature information and the second vehicle feature information, it is determined whether the passing vehicle is a potential vehicle that changes vehicle features. Among them, if there is at least one feature item whose first feature value in the first vehicle feature information is inconsistent with its second feature value in the second vehicle feature information, the first vehicle feature information is inconsistent with the second vehicle feature information; if the first vehicle feature information is inconsistent with the second vehicle feature information, the passing vehicle is a potential vehicle that has changed vehicle features.

[0043] In one embodiment, if multiple feature items include license plate information, vehicle color, vehicle length, vehicle model and axle, the license plate information in the first vehicle feature information is compared with the license plate information in the second vehicle feature information to obtain a comparison result of the license plate information; the vehicle color in the first vehicle feature information is compared with the vehicle color in the second vehicle feature information to obtain a comparison result of the vehicle color; the vehicle length in the first vehicle feature information is compared with the vehicle length in the second vehicle feature information to obtain a comparison result of the vehicle length; the vehicle model in the first vehicle feature information is compared with the vehicle model in the second vehicle feature information to obtain a comparison result of the vehicle model; the axle in the first vehicle feature information is compared with the axle in the second vehicle feature information to obtain a comparison result of the axle.

[0044] According to the comparison results of each feature item, if there is at least one feature item among the multiple feature items whose feature value in the first vehicle feature information is inconsistent with the feature value in the second vehicle feature information, that is, the same feature item has different feature values ​​in the first vehicle feature information and the second vehicle feature information respectively, then it can be determined that the passing vehicle has evaded tolls by changing its vehicle characteristics and is a potential vehicle for evading tolls.

[0045] Furthermore, the toll evasion behavior of the passing vehicle also includes the behavior of following the vehicle or the behavior of breaking through the checkpoint. Step 300 may also include: Step 304: If the first vehicle characteristic information is consistent with the second vehicle characteristic information, determine whether the passing vehicle generates a passing transaction flow based on the billing transaction information to determine whether the passing vehicle is an abnormal vehicle that has followed or violated a checkpoint.

[0046] The first vehicle characteristic information is compared with the second vehicle characteristic information to determine whether the first vehicle characteristic information is consistent with the second vehicle characteristic information. If the first vehicle characteristic information is consistent with the second vehicle characteristic information, it means that the passing vehicle does not evade fees by changing the vehicle characteristics. Further, based on the billing transaction information, it is determined whether the passing vehicle generates a passing transaction flow, that is, whether the passing vehicle completes the payment transaction, and then determines whether the passing vehicle is a potential vehicle with a following car or a checkpoint. Among them, if the passing vehicle does not generate a passing transaction flow, the passing vehicle has a potential evasion behavior of following a following car or a checkpoint, and is a potential vehicle with a evasion behavior.

[0047] Optionally, when both the first vehicle characteristic information and the second vehicle characteristic information include multiple characteristic items, the first vehicle characteristic information is compared with the second vehicle characteristic information, specifically, each characteristic item of the first vehicle characteristic information is compared with the characteristic items in the second vehicle characteristic information. The first vehicle characteristic information is consistent with the second vehicle characteristic information, specifically, the characteristic values ​​of all characteristic items in the first vehicle characteristic information are consistent with those of the second vehicle characteristic information. If there is at least one characteristic item whose characteristic value in the first vehicle characteristic information is inconsistent with its characteristic value in the second vehicle characteristic information, then the first vehicle characteristic information is considered inconsistent with the second vehicle characteristic information.

[0048] In some embodiments, the same passing vehicle may simultaneously change vehicle characteristics and different fare evasion behaviors such as hitchhiking or breaking through. Therefore, when identifying an abnormal vehicle with fare evasion behavior, the first vehicle characteristic information and the second vehicle characteristic information may be compared to determine the consistency of the first vehicle characteristic information and the second vehicle characteristic information, and determine whether the passing vehicle has generated a pass transaction flow in this passage based on the charging transaction information of the passing vehicle. Based on the consistency of the first vehicle characteristic information and the second vehicle characteristic information, and the determination result of whether the passing vehicle has generated a pass transaction flow in this passage, determine whether the passing vehicle is an abnormal vehicle with fare evasion behavior. If the first vehicle characteristic information is inconsistent with the second vehicle characteristic information, and / or the passing vehicle has not generated a pass transaction flow in this passage, the passing vehicle is a potential vehicle with fare evasion behavior.

[0049] In other embodiments, due to reasons such as the close distance between passing vehicles, the first vehicle feature information obtained by capturing video images of the following vehicle may be incomplete. In this case, a voice prompt to keep a safe distance may be given to the passing vehicle, and the feature values ​​of the feature items not captured in the first vehicle feature information may be set to null values ​​or specific feature values. When comparing with the second vehicle feature information, only the feature items captured in the first vehicle feature information are compared with the second vehicle feature information. On the basis that the captured feature items are consistent with the second vehicle feature information, it is determined based on the billing transaction information whether the passing vehicle has generated billing transaction information in this passage, thereby determining whether the passing vehicle is a potential vehicle with toll evasion behavior.

[0050] First, the first vehicle characteristic information is compared with the second vehicle characteristic information to determine whether the passing vehicle has evaded the fee by changing the vehicle characteristics, which helps to improve the recognition efficiency of the passing vehicle. If the first vehicle characteristic information is consistent with the second vehicle characteristic information, it is then determined whether the passing vehicle has generated a passing transaction flow during this passage, and whether the passing vehicle has potential to follow or break through the checkpoint, ensuring the recognition accuracy of evading vehicles with different evasion behaviors.

[0051] For potential toll evasion vehicles that have changed their vehicle characteristics, or have engaged in ride-sharing or checkpoint-breaking behaviors, an abnormal analysis of the passing events in the exit lane log is conducted based on the vehicle information of the potential vehicle, so as to conduct further toll evasion analysis on the potential toll evasion vehicles. Based on the analysis results of whether there are abnormal passing events of passing vehicles in the exit lane, it is determined whether the passing vehicle is an abnormal vehicle that has engaged in toll evasion behavior.

[0052] Furthermore, after determining whether the passing vehicle is an abnormal vehicle that has evaded tolls, it is necessary to intercept and process the abnormal vehicle that has evaded tolls, and gather the chain of evidence so as to conduct audit analysis and recovery of the abnormal vehicle. After step 300, the following may also be included: Step 401: If the potential vehicle is an abnormal vehicle that has evaded tolls, the abnormal vehicle is intercepted on site.

[0053] If the passing vehicle is an abnormal vehicle that has engaged in toll evasion, the abnormal vehicle will be intercepted on the spot. The interception methods include but are not limited to controlling the ETC barrier equipment not to raise the barrier, or controlling the ETC barrier equipment to lower the barrier.

[0054] Furthermore, after step 300, the following steps may be further included: Step 402: if the potential vehicle is an abnormal vehicle that has evaded tolls, obtain the capture position and capture time of the vehicle video image of the abnormal vehicle; Step 403, marking the vehicle video image of the abnormal vehicle based on the capture location and the capture time, and marking and classifying and storing the first vehicle feature information and charging transaction information of the abnormal vehicle to form an evidence chain of the abnormal vehicle; Step 404, sending the evidence chain to a preset audit terminal for audit analysis to conduct a post-audit of the abnormal vehicle.

[0055] If the potential vehicle is determined to be an abnormal vehicle with toll evasion, the capture location and capture time of the abnormal vehicle's video image are obtained, and based on the capture location and capture time, the abnormal vehicle's video image is marked, and the abnormal vehicle's first vehicle feature information and billing transaction information are marked and classified and stored to form an evidence chain of the abnormal vehicle. The gathered evidence chain is sent to the preset audit terminal for audit analysis, so as to conduct post-audit and recovery of the abnormal vehicle.

[0056] Optionally, the marking method for abnormal vehicles and their first vehicle characteristic information and billing transaction information includes, but is not limited to, marking according to the toll evasion behavior of abnormal vehicles. Different types of toll evasion behaviors, such as changing vehicle characteristics and following a ride or breaking through checkpoints, are marked in different ways to facilitate subsequent audits and recovery.

[0057] It is understandable that the exit ramps of highway toll stations are equipped with a pre-transaction system, which can charge ETC vehicles in advance so that vehicles can pass quickly. Since only the front license plate information of the vehicle is captured in the pre-transaction stage, other features of the passing vehicle are not captured, it is impossible to determine whether the vehicle has evaded fees such as changing the vehicle model, and it is impossible to regularly audit vehicles that have followed or broken through the checkpoints. At the same time, it is impossible to provide an effective chain of evidence that is conducive to the recovery business. In the embodiment of the present invention, by setting up a capture device on the exit ramp to capture the characteristics of the passing vehicle, and integrating the vehicle characteristics with the vehicle's billing transaction information, it is possible to accurately and efficiently identify evading vehicles that have changed vehicle characteristics, followed or broken through the checkpoints, and form an effective chain of evidence to efficiently audit and recover evading vehicles.

[0058] In one embodiment, referring to Figure 2 The regional structure diagram of the toll station shown in the figure shows that the toll station is mainly composed of an exit ramp, a toll plaza and multiple exit lanes. The toll plaza is equipped with billing equipment for transactions and billing of passing vehicles. The exit lanes include ETC (Electronic Toll Collection, electronic toll collection system) / manual lanes, ETC dedicated lanes and ETC / unattended lanes. When a passing vehicle exits the expressway, it first passes through the exit ramp and enters the toll plaza. The capture device installed on the exit ramp captures the video image of the passing vehicle entering the exit ramp, and extracts the first vehicle feature information of the passing vehicle based on the captured video image.

[0059] When a passing vehicle passes through the billing equipment at the toll plaza, the billing equipment communicates with the ETC passing medium of the passing vehicle and performs a billing transaction on the passing vehicle. After the passing vehicle completes the payment transaction, the ETC barrier equipment is controlled to lift the barrier and allow the passing vehicle to exit the expressway through the exit lane. When the billing equipment performs a transaction and bills the passing vehicle, the second vehicle characteristic information of the passing vehicle is read from the passing medium, and the first vehicle characteristic information is compared with the second vehicle characteristic information. If the two are inconsistent, the passing vehicle is a potential vehicle with evasion behavior; if the first vehicle characteristic information is consistent with the second vehicle characteristic information, it is further determined based on the billing transaction information whether the passing vehicle has generated a transaction flow in this passage. If no transaction flow is generated, the passing vehicle is a potential vehicle with evasion behavior. Otherwise, the passing vehicle is a normal driving vehicle.

[0060] If the passing vehicle is a potential vehicle that has evaded charges, the passing event in the obtained exit lane log is analyzed for abnormality based on the vehicle information of the potential vehicle, so as to conduct further evasion analysis on the potential vehicle, thereby determining whether the potential vehicle is an abnormal vehicle that has evaded charges, avoiding misjudgment of evasion behavior, and improving recognition accuracy. For abnormal vehicles that have evaded charges, they can be intercepted or prompted.

[0061] In one embodiment, referring to Figure 3 The toll evasion vehicle identification process shown in the figure collects the first vehicle characteristic information, exit lane log and billing transaction information of the passing vehicle, obtains the second vehicle characteristic information associated with the billing transaction information, and screens and identifies abnormal vehicles with toll evasion based on the first vehicle characteristic information, the second vehicle characteristic information and the billing transaction information. Specifically, it includes comparing the first vehicle characteristic information with the second vehicle characteristic information, screening and identifying potential vehicles with inconsistent characteristics that have changed vehicle characteristics and have toll evasion behaviors. In the case of consistent characteristics, screening and identifying potential vehicles with toll evasion behaviors such as following vehicles, riding vehicles and breaking through checkpoints that have no transaction flow this time based on the billing transaction information. Among them, the changes in vehicle characteristics mainly include large vehicles with small logos and trucks with passenger logos, etc. The screened and identified abnormal vehicles are suspected of paying less or no tolls by changing the characteristics such as the vehicle model, or by following vehicles, riding vehicles or breaking through checkpoints.

[0062] For potential vehicles that have evaded tolls, an abnormal analysis of the vehicle passing events in the exit lane log is performed based on their vehicle information to determine whether the potential vehicle has any abnormal vehicle passing events, so as to conduct further evasion analysis on the potential vehicle and further verify the evasion behavior to determine whether the potential vehicle is an abnormal vehicle that has evaded tolls.

[0063] Furthermore, for the abnormal vehicles identified, the chain of evidence is gathered by marking, and the gathered chain of evidence is sent to the audit end for audit analysis to obtain the audit results so as to recover the vehicles that evaded the fees.

[0064] In this embodiment, the vehicle characteristics and billing transaction information of passing vehicles are collected and compared at the exit ramp, and abnormal vehicles that are highly suspected of evading fees are intelligently identified and intercepted on the spot. The relevant evidence chain of the abnormal vehicles suspected of evading fees is automatically integrated, and the gathered evidence chain is pushed to the audit terminal for post-audit analysis, so as to accurately and efficiently crack down on fare-evading vehicles and improve the audit intensity of fare-evading vehicles.

[0065] Furthermore, the gathered chain of evidence of toll-evading vehicles may include the toll-evasion type of abnormal vehicles (changing vehicle characteristics, following a car or breaking through checkpoints), suspicious characteristics (inconsistent characteristic items between the first vehicle characteristic information and the second vehicle characteristic information), transaction flow, and panoramic video images captured by the capture equipment, etc., which is conducive to forming a complete audit and recovery basis for toll-evading vehicles, improving the identification accuracy and audit efficiency of toll-evading vehicles, and ensuring the fairness and accuracy of highway toll collection.

[0066] The highway toll evading vehicle identification device provided by the present invention is described below. The highway toll evading vehicle identification device described below and the highway toll evading vehicle identification method described above can be referenced to each other.

[0067] Reference Figure 4 The embodiment of the present invention provides a device for identifying a toll-evading vehicle on a highway, comprising: The data collection module 10 is used to collect first vehicle characteristic information, exit lane log and billing transaction information of a passing vehicle; the passing vehicle is any vehicle entering the exit ramp of a toll station, the first vehicle characteristic information is obtained by extracting a vehicle video image, the vehicle video image is obtained by capturing a capture device installed on the exit ramp, and the billing transaction information is generated by the billing device installed on the exit ramp performing a billing transaction on the passing vehicle; the exit lane log is a vehicle passing event generated when a vehicle passes through an exit lane; The associated data acquisition module 20 is used to acquire the second vehicle characteristic information associated with the charging transaction information; A toll evasion identification module 30, configured to determine whether the passing vehicle is a potential vehicle for toll evasion based on the consistency between the first vehicle characteristic information and the second vehicle characteristic information; If so, an abnormal analysis is performed on the vehicle passing events in the exit lane log based on the vehicle information of the potential vehicle to determine whether the potential vehicle has evaded tolls.

[0068] In one embodiment, the first vehicle characteristic information and the second vehicle characteristic information each include a plurality of characteristic items, wherein the plurality of characteristic items include at least two of license plate information, vehicle color, vehicle length, vehicle model, and axle; the toll evasion behavior includes changing vehicle characteristics; the toll evasion vehicle identification module 30 is further used to: Comparing each feature item of the first vehicle feature information with each feature item of the second vehicle feature information to obtain comparison results of multiple feature items; the comparison result of any of the feature items is used to indicate whether a first feature value of the feature item in the first vehicle feature information is consistent with a second feature value in the second vehicle feature information; Determining consistency between the first vehicle characteristic information and the second vehicle characteristic information according to a comparison result of each of the characteristic items; Based on the consistency between the first vehicle characteristic information and the second vehicle characteristic information, determine whether the passing vehicle is a potential vehicle with changed vehicle characteristics; wherein, if the first vehicle characteristic information is inconsistent with the second vehicle characteristic information, the passing vehicle is a potential vehicle with changed vehicle characteristics.

[0069] In one embodiment, the toll evasion behavior also includes following a car or breaking through a checkpoint; the toll evasion vehicle identification module 30 is also used to: If the first vehicle characteristic information is consistent with the second vehicle characteristic information, it is determined whether the passing vehicle generates a passing transaction flow based on the billing transaction information to determine whether the passing vehicle is a potential vehicle that follows or breaks through.

[0070] In one embodiment, the data acquisition module 10 is further used for: Collecting video images of passing vehicles; the video images are captured by a capture device disposed on the exit ramp when the passing vehicle is in the capture area of ​​the exit ramp of the toll station; Acquire an exit lane log of an exit lane, and extract first vehicle feature information of the passing vehicle from the video image; When the passing vehicle is in the transaction area of ​​the exit ramp, the billing transaction information of the passing vehicle is obtained through the billing device set on the exit ramp; the billing transaction information is generated by the billing device communicating with the passing medium of the passing vehicle to perform a billing transaction on the passing vehicle.

[0071] In one embodiment, the highway toll evasion vehicle identification device further includes an audit analysis module for: If the potential vehicle is an abnormal vehicle that has evaded tolls, obtaining the capture position and capture time of the vehicle video image of the abnormal vehicle; Marking the vehicle video image of the abnormal vehicle based on the capture location and the capture time, and marking and classifying and storing the first vehicle feature information and charging transaction information of the abnormal vehicle to form an evidence chain of the abnormal vehicle; The chain of evidence is sent to a preset audit terminal for audit analysis to conduct a post-audit of the abnormal vehicle.

[0072] In one embodiment, the highway toll evasion vehicle identification device further includes an interception processing module for: If the potential vehicle is an abnormal vehicle that has engaged in toll evasion, the abnormal vehicle will be intercepted on the spot.

[0073] The embodiment of the present invention further provides a highway toll evading vehicle identification system, which is used to implement the highway toll evading vehicle identification method described in the above embodiments. The highway toll evading vehicle identification system includes a capture device, a charging device and a toll evading vehicle identification device. The capture device and the charging device are arranged on the exit ramp of the highway toll station, wherein: The capture device is used to capture a vehicle video image of the passing vehicle when the passing vehicle enters the capture area of ​​the exit ramp; The charging device is used to communicate with the passing medium of the passing vehicle when the passing vehicle is in the transaction area of ​​the exit ramp, so as to perform a charging transaction on the passing vehicle and generate charging transaction information of the passing vehicle; The toll evasion vehicle identification device is used for: Collecting the billing transaction information and exit lane log of the passing vehicle, and collecting the first vehicle feature information of the passing vehicle from the vehicle video image; the exit lane log is a vehicle passing event generated when the vehicle passes through the exit lane; Acquiring second vehicle characteristic information associated with the charging transaction information; Based on the consistency between the first vehicle characteristic information and the second vehicle characteristic information, determining whether the passing vehicle is a potential vehicle for toll evasion; If so, an abnormal analysis is performed on the vehicle passing events in the exit lane log based on the vehicle information of the potential vehicle to determine whether the potential vehicle has evaded tolls.

[0074] The highway toll evading vehicle identification system provided by the embodiment of the present invention and the highway toll evading vehicle identification method described in the above embodiments can be referenced to each other, and will not be described in detail here.

[0075] 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 a vehicle evading tolls on a highway, for example, including: Collecting first vehicle characteristic information, exit lane log and billing transaction information of a passing vehicle; the passing vehicle is any vehicle entering the exit ramp of a toll station, the first vehicle characteristic information is obtained by extracting a vehicle video image, the vehicle video image is captured based on a capture device installed on the exit ramp, and the billing transaction information is generated by a billing transaction performed on the passing vehicle by a billing device installed on the exit ramp; the exit lane log is a vehicle passing event generated when a vehicle passes through an exit lane; Acquiring second vehicle characteristic information associated with the charging transaction information; Based on the consistency between the first vehicle characteristic information and the second vehicle characteristic information, determining whether the passing vehicle is a potential vehicle for toll evasion; If so, an abnormal analysis is performed on the vehicle passing events in the exit lane log based on the vehicle information of the potential vehicle to determine whether the potential vehicle has evaded tolls.

[0076] 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.

[0077] 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 toll evasion vehicle identification method provided by the above methods, for example, including: Collecting first vehicle characteristic information, exit lane log and billing transaction information of a passing vehicle; the passing vehicle is any vehicle entering the exit ramp of a toll station, the first vehicle characteristic information is obtained by extracting a vehicle video image, the vehicle video image is captured based on a capture device installed on the exit ramp, and the billing transaction information is generated by a billing transaction performed on the passing vehicle by a billing device installed on the exit ramp; the exit lane log is a vehicle passing event generated when a vehicle passes through an exit lane; Acquiring second vehicle characteristic information associated with the charging transaction information; Based on the consistency between the first vehicle characteristic information and the second vehicle characteristic information, determining whether the passing vehicle is a potential vehicle for toll evasion; If so, an abnormal analysis is performed on the vehicle passing events in the exit lane log based on the vehicle information of the potential vehicle to determine whether the potential vehicle has evaded tolls.

[0078] 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 highway toll evasion vehicle identification method provided by the above methods, for example, including: Collecting first vehicle characteristic information, exit lane log and billing transaction information of a passing vehicle; the passing vehicle is any vehicle entering the exit ramp of a toll station, the first vehicle characteristic information is obtained by extracting a vehicle video image, the vehicle video image is captured based on a capture device installed on the exit ramp, and the billing transaction information is generated by a billing transaction performed on the passing vehicle by a billing device installed on the exit ramp; the exit lane log is a vehicle passing event generated when a vehicle passes through an exit lane; Acquiring second vehicle characteristic information associated with the charging transaction information; Based on the consistency between the first vehicle characteristic information and the second vehicle characteristic information, determining whether the passing vehicle is a potential vehicle for toll evasion; If so, an abnormal analysis is performed on the vehicle passing events in the exit lane log based on the vehicle information of the potential vehicle to determine whether the potential vehicle has evaded tolls.

[0079] 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.

[0080] 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.

[0081] 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 vehicles that evade tolls on highways, characterized in that: include: Collecting first vehicle characteristic information, exit lane log and billing transaction information of passing vehicles; The passing vehicle is any vehicle entering the exit ramp of the toll station, the first vehicle feature information is obtained by extracting a vehicle video image, the vehicle video image is captured by a capture device installed on the exit ramp, and the billing transaction information is generated by a billing transaction performed on the passing vehicle by a billing device installed on the exit ramp; The exit lane log is a vehicle passing event generated when a vehicle passes through the exit lane; Acquiring second vehicle characteristic information associated with the charging transaction information; Based on the consistency between the first vehicle characteristic information and the second vehicle characteristic information, determining whether the passing vehicle is a potential vehicle for toll evasion; If so, an abnormal analysis is performed on the vehicle passing events in the exit lane log based on the vehicle information of the potential vehicle to determine whether the potential vehicle has evaded tolls.

2. The method for identifying toll-evading vehicles on highways according to claim 1, characterized in that: The first vehicle characteristic information and the second vehicle characteristic information both include a plurality of characteristic items, wherein the plurality of characteristic items include at least two of license plate information, vehicle color, vehicle length, vehicle model, and axle; the toll evasion behavior includes changing vehicle characteristics; and determining whether the passing vehicle is a potential vehicle for toll evasion behavior based on the consistency between the first vehicle characteristic information and the second vehicle characteristic information includes: Comparing each feature item of the first vehicle feature information with each feature item of the second vehicle feature information to obtain comparison results of multiple feature items; the comparison result of any of the feature items is used to indicate whether a first feature value of the feature item in the first vehicle feature information is consistent with a second feature value in the second vehicle feature information; Determining consistency between the first vehicle characteristic information and the second vehicle characteristic information according to a comparison result of each of the characteristic items; Based on the consistency between the first vehicle characteristic information and the second vehicle characteristic information, determine whether the passing vehicle is a potential vehicle with changed vehicle characteristics; wherein, if the first vehicle characteristic information is inconsistent with the second vehicle characteristic information, the passing vehicle is a potential vehicle with changed vehicle characteristics.

3. The method for identifying toll-evading vehicles on highways according to claim 2, characterized in that: The toll evasion behavior also includes following a car or breaking through a checkpoint; the determining whether the passing vehicle is a potential vehicle for toll evasion based on the consistency between the first vehicle characteristic information and the second vehicle characteristic information includes: If the first vehicle characteristic information is consistent with the second vehicle characteristic information, it is determined whether the passing vehicle generates a passing transaction flow based on the billing transaction information to determine whether the passing vehicle is a potential vehicle that follows or breaks through.

4. The method for identifying toll-evading vehicles on highways according to claim 1, characterized in that: The collecting of first vehicle characteristic information, exit lane log and billing transaction information of passing vehicles includes: Collecting video images of passing vehicles; the video images are captured by a capture device disposed on the exit ramp when the passing vehicle is in the capture area of ​​the exit ramp of the toll station; Acquire an exit lane log of an exit lane, and extract first vehicle feature information of the passing vehicle from the video image; When the passing vehicle is in the transaction area of ​​the exit ramp, the billing transaction information of the passing vehicle is obtained through the billing device set on the exit ramp; the billing transaction information is generated by the billing device communicating with the passing medium of the passing vehicle to perform a billing transaction on the passing vehicle.

5. The method for identifying toll-evading vehicles on highways according to claim 4, characterized in that: After performing abnormal analysis on the vehicle passing events in the exit lane log according to the vehicle information of the potential vehicle to determine whether the potential vehicle has evaded tolls, the method further includes: If the potential vehicle is an abnormal vehicle that has evaded tolls, obtaining the capture position and capture time of the vehicle video image of the abnormal vehicle; Marking the vehicle video image of the abnormal vehicle based on the capture location and the capture time, and marking and classifying and storing the first vehicle feature information and charging transaction information of the abnormal vehicle to form an evidence chain of the abnormal vehicle; The chain of evidence is sent to a preset audit terminal for audit analysis to conduct a post-audit of the abnormal vehicle.

6. The method for identifying toll-evading vehicles on highways according to claim 1, characterized in that: After performing abnormal analysis on the vehicle passing events in the exit lane log according to the vehicle information of the potential vehicle to determine whether the potential vehicle has evaded tolls, the method further includes: If the potential vehicle is an abnormal vehicle that has engaged in toll evasion, the abnormal vehicle will be intercepted on the spot.

7. A device for identifying vehicles that evade tolls on expressways, characterized in that: include: A data collection module, used to collect first vehicle characteristic information, exit lane log and billing transaction information of passing vehicles; The passing vehicle is any vehicle entering the exit ramp of the toll station, the first vehicle feature information is obtained by extracting a vehicle video image, the vehicle video image is captured by a capture device installed on the exit ramp, and the billing transaction information is generated by a billing transaction performed on the passing vehicle by a billing device installed on the exit ramp; The exit lane log is a vehicle passing event generated when a vehicle passes through the exit lane; An associated data acquisition module, used to acquire second vehicle characteristic information associated with the charging transaction information; a toll evasion identification module, configured to determine whether the passing vehicle is a potential vehicle for toll evasion based on the consistency between the first vehicle characteristic information and the second vehicle characteristic information; If so, an abnormal analysis is performed on the vehicle passing events in the exit lane log based on the vehicle information of the potential vehicle to determine whether the potential vehicle has evaded tolls.

8. A highway toll evasion vehicle identification system, characterized in that: It includes a capture device, a charging device and a toll evasion vehicle identification device, wherein the capture device and the charging device are arranged on the exit ramp of a highway toll station, wherein: The capture device is used to capture a vehicle video image of the passing vehicle when the passing vehicle enters the capture area of ​​the exit ramp; The charging device is used to communicate with the passing medium of the passing vehicle when the passing vehicle is in the transaction area of ​​the exit ramp, so as to perform a charging transaction on the passing vehicle and generate charging transaction information of the passing vehicle; The toll evasion vehicle identification device is used for: Collecting the billing transaction information and exit lane log of the passing vehicle, and collecting the first vehicle feature information of the passing vehicle from the vehicle video image; the exit lane log is a vehicle passing event generated when the vehicle passes through the exit lane; Acquiring second vehicle characteristic information associated with the charging transaction information; Based on the consistency between the first vehicle characteristic information and the second vehicle characteristic information, determining whether the passing vehicle is a potential vehicle for toll evasion; If so, an abnormal analysis is performed on the vehicle passing events in the exit lane log based on the vehicle information of the potential vehicle to determine whether the potential vehicle has evaded tolls.

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 a highway toll evading vehicle as described in any one of claims 1 to 6 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 a highway toll evading vehicle as claimed in any one of claims 1 to 6 is implemented.

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