Expressway toll station traffic capacity index discrimination method and device

Abstract

The application provides a highway toll station traffic capacity index discrimination method and device. It relates to the technical field of computers. It includes: for each current vehicle, determining the transaction duration of the current vehicle based on the drop-coil arrival time of the previous vehicle passing and the lift-coil arrival time of the current vehicle passing; for each current vehicle, determining the lane stay duration of the current vehicle based on the snapshot-coil arrival time of the current vehicle and the drop-coil arrival time of the current vehicle; for each toll lane of the toll station to be discriminated, based on the transaction duration of each vehicle and the lane stay duration of each vehicle, the average transaction duration and the average lane stay duration of the entire toll station are calculated; based on the traffic flow data, the average transaction duration and the average lane stay duration of the toll station to be discriminated, the traffic capacity of the toll station to be discriminated is evaluated. Thus, the reliability of lane capacity discrimination is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of computer, in particular, relates to a highway toll station traffic capacity index discrimination method and device. BACKGROUND

[0002] With the rapid growth of public travel demand, highways become an important way for public travel, but with the rapid increase in the number of motor vehicles, toll stations are facing congestion to varying degrees, especially during major holidays and tourist seasons, the congestion of highway toll stations is more prominent, which seriously affects the smooth travel of the public. Due to the restriction of design, construction land occupation, investment and other factors of the highway toll station, in order to cope with the traffic congestion of the toll station, it is urgent to improve the management and service level through intelligent means, and to establish an automatic detection mechanism to judge the congestion degree of the toll station. By constructing an automatic detection and early warning system, on the one hand, the management department is provided with intuitive and convenient traffic state information service of the toll station, which provides basis for the management department to make reasonable decisions; on the other hand, the public is provided with more accurate information, which provides help through highway network management, traffic guidance release, comprehensive information release and information inquiry; and the supervision department is provided with vehicle traffic and staff conditions of the toll station in time, which facilitates the supervision department to manage the operation of the toll station.

[0003] At present, some areas have phased congestion management measures for highway toll stations, but the toll station staff cannot accurately determine the congestion condition of the vehicle by visual inspection or watching the video camera constructed in the square to determine the queuing length of the vehicle, which may cause false positives and lack of convincing execution basis. SUMMARY

[0004] The purpose of the embodiment of the present application is to provide a highway toll station traffic capacity index discrimination method and device, which can alleviate the unreasonable capacity determination of the toll station in the prior art.

[0005] In a first aspect, the present application provides a highway toll station traffic capacity index discrimination method, the toll station comprising one or more toll lanes, each toll lane being provided with a barrier gate, a snapshot coil and a drop pole coil, the barrier gate comprising a barrier; the method comprising:

[0006] For each passing vehicle of the toll station to be discriminated, the snapshot coil arrival time, the pole lifting time and the drop pole coil arrival time of each passing vehicle are determined;

[0007] For each current vehicle, the transaction duration of the current vehicle is determined based on the drop pole coil arrival time of the previous vehicle passing and the pole lifting time of the current vehicle passing;

[0008] For each current vehicle, based on the snapshot coil arrival time of the current vehicle and the drop pole coil arrival time of the current vehicle, determine the lane stay duration of the current vehicle;

[0009] For each toll lane of the to-be-judged toll station, based on the transaction duration of each vehicle and the lane stay duration of each vehicle, statistics the average transaction duration and the average lane stay duration of the entire toll station;

[0010] Based on the traffic flow data, the average transaction duration and the average lane stay duration of the to-be-judged toll station, the traffic capacity of the to-be-judged toll station is evaluated.

[0011] In an optional implementation, the traffic capacity of the to-be-judged toll station is calculated based on the following formula:

[0012]

[0013] In an optional implementation, the snapshot coil and the drop pole coil are virtual coils; or, the snapshot coil is a virtual coil and the drop pole coil is a physical coil; or, the snapshot coil and the drop pole coil are physical coils.

[0014] In an optional implementation, a camera is arranged for each toll lane, and the camera is used to shoot images of the entrance, exit and gate area of the toll lane; when the snapshot coil is a virtual coil and the drop pole coil is a physical coil, the method further comprises:

[0015] The snapshot coil is configured for the camera of each toll lane;

[0016] For each first vehicle passing through the snapshot coil, a first time when the camera detects that the first vehicle coincides with the snapshot coil is determined, a first time sequence is obtained, and a first image is obtained at the first time, the first image including the first vehicle;

[0017] The first image is identified to obtain the license plate number of the first vehicle, and the first time is labeled using the license plate number of the first vehicle;

[0018] For each second vehicle passing through the drop pole coil, a second time when the drop pole coil is triggered is determined, and a second time sequence is obtained;

[0019] A first correspondence relationship between the determined first time and the second time of the first time sequence and the second time sequence is matched, and the first correspondence relationship is labeled by the license plate number.

[0020] In an optional implementation, further comprising:

[0021] For each third vehicle passing through the barrier, a third time of the barrier lifting rod is determined, and a third time sequence is obtained;

[0022] A second correspondence relationship of the determined third time and second time of the third time sequence and the second time sequence is matched, and the second correspondence relationship is marked by a license plate number.

[0023] In an optional implementation, the second correspondence relationship is the drop rod coil arrival time of the preceding vehicle passing through and the lifting rod time of the current vehicle passing through.

[0024] In an optional implementation, the first time sequence, the second time sequence and the third time sequence are all determined according to a target period, and there is a repeated time period between adjacent two target periods; the length of the target period is related to the number of recorded time points.

[0025] In a second aspect, the present application provides a highway toll station traffic capacity index determination device, the toll station comprising one or more toll lanes, each toll lane being provided with a barrier, a snapshot coil and a drop rod coil, the barrier comprising a barrier; the device comprises:

[0026] A first determination module is configured to determine, for each passing vehicle of a toll station to be determined, a snapshot coil arrival time, a lifting rod time and a drop rod coil arrival time of each passing vehicle.

[0027] A second determination module is configured to determine, for each current vehicle, a transaction duration of the current vehicle based on the drop rod coil arrival time of the preceding vehicle passing through and the lifting rod time of the current vehicle passing through.

[0028] A third determination module is configured to determine, for each current vehicle, a lane stay duration of the current vehicle based on the snapshot coil arrival time of the current vehicle and the drop rod coil arrival time of the current vehicle.

[0029] A statistical module is configured to, for each toll lane of a toll station to be determined, based on the transaction duration of each vehicle and the lane stay duration of each vehicle, statistically determine an average transaction duration and an average lane stay duration of the entire toll station.

[0030] An evaluation module is configured to evaluate the traffic capacity of the toll station to be determined based on traffic flow data, the average transaction duration and the average lane stay duration of the toll station to be determined.

[0031] In a third aspect, the present application provides an electronic device, the electronic device comprising a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory complete mutual communication through the communication bus;

[0032] The memory is used to store a computer program.

[0033] The processor is configured to implement the method steps of any one of the preceding embodiments when executing the program stored in the memory.

[0034] In a fourth aspect, the present application provides a computer readable storage medium, which stores a computer program, and the computer program, when executed by a processor, implements the method steps of any one of the preceding embodiments.

[0035] The present application provides a highway toll station traffic capacity index discrimination method and device. For each passing vehicle of a to-be-discriminated toll station, the arrival time of the snap coil, the lifting rod time, and the arrival time of the drop rod coil of each passing vehicle are determined. For each current vehicle, the transaction duration of the current vehicle is determined based on the drop rod coil arrival time of the previous vehicle and the lifting rod time of the current vehicle. For each current vehicle, the lane stay duration of the current vehicle is determined based on the snap coil arrival time of the current vehicle and the drop rod coil arrival time of the current vehicle. For each toll lane of the to-be-discriminated toll station, the average transaction duration and the average lane stay duration of the entire toll station are counted based on the transaction duration of each vehicle and the lane stay duration of each vehicle. The traffic capacity of the to-be-discriminated toll station is evaluated based on the traffic flow data, the average transaction duration, and the average lane stay duration of the to-be-discriminated toll station. For a highway toll station, the communication capacity of the toll station is evaluated by an algorithm and data. The purpose of the evaluation is mainly to ensure the smoothness of the traffic flow and to avoid the formation of a large area of congestion at the toll station. After the evaluation, how to reasonably allocate the lanes is determined to reduce the congestion of the toll station. Through the analysis of the traffic flow and the nearby toll station, certain decision support is provided for the layout of the newly opened toll station. BRIEF DESCRIPTION OF DRAWINGS

[0036] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following will briefly introduce the drawings needed to be used in the embodiments of the present application. It should be understood that the following drawings only show some embodiments of the present application, and therefore should not be regarded as a limitation on the scope. For those skilled in the art, other related drawings can also be obtained without creative labor.

[0037] Figure 1 A flowchart of a highway toll station traffic capacity index discrimination method is provided for the embodiments of the present application.

[0038] Figure 2 A structural schematic diagram of a highway toll station traffic capacity index discrimination device is provided for the embodiments of the present application.

[0039] Figure 3An electronic device structure schematic diagram provided by an embodiment of the present application. DETAILED DESCRIPTION

[0040] In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are some but not all of the embodiments of the present application. The components of the embodiments of the present application described and shown in the drawings can be arranged and designed in various different configurations.

[0041] Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the claimed present application, but only represents selected embodiments of the present application. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in the present application without creative labor fall within the scope of protection of the present application.

[0042] It should be noted that: similar reference numerals and letters represent similar items in the following drawings, therefore, once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings.

[0043] Some embodiments of the present application will be described in detail below with reference to the drawings. The following embodiments and features in the embodiments can be combined with each other without conflict.

[0044] Figure 1 A highway toll station passing capacity index discrimination method flowchart is provided by an embodiment of the present application. The toll station includes one or more toll lanes, and each toll lane is provided with a barrier gate, a snapshot coil and a drop rod coil. As shown in the figure, the method can include the following steps: Figure 1

[0045] S110, for each passing vehicle of the toll station to be discriminated, determining the snapshot coil arrival time, the lifting rod time and the drop rod coil arrival time of each passing vehicle.

[0046] Among them, the real-time discrimination of the passing capacity can be performed on all toll stations in the jurisdiction, or the discrimination can be performed on a specific toll station.

[0047] For example, when a toll station often causes congestion or is often complained, the discrimination of the passing capacity of the toll station can be started to determine the efficiency of the toll station, so as to determine the scheme for improving the passing capacity.

[0048] ​After determining the toll station to be discriminated, each lane of the toll station and each vehicle passing through the toll station are monitored, and the snap coil arrival time, boom lifting time and drop coil arrival time of each vehicle are recorded.

[0049] In S120, for each current vehicle, the transaction duration of the current vehicle is determined based on the drop coil arrival time of the preceding vehicle and the boom lifting time of the current vehicle.

[0050] In S130, for each current vehicle, the lane stay duration of the current vehicle is determined based on the snap coil arrival time of the current vehicle and the drop coil arrival time of the current vehicle.

[0051] Based on the above steps S120 and S130, the transaction duration and the lane stay duration of each vehicle can be obtained.

[0052] In S140, for each toll lane of the toll station to be discriminated, the average transaction duration and the average lane stay duration of the entire toll station are counted based on the transaction duration of each vehicle and the lane stay duration of each vehicle.

[0053] For each lane, the average value can be determined according to the transaction duration and the lane stay duration of each vehicle determined in the above steps S120 and S130.

[0054] In S150, the traffic capacity of the toll station to be discriminated is evaluated based on the traffic volume data, the average transaction duration and the average lane stay duration of the toll station to be discriminated.

[0055] For example, the traffic capacity of the toll station to be discriminated is calculated based on the following formula:

[0056]

[0057] In the above formula, the traffic volume is the traffic volume of the toll station to be discriminated. The average transaction duration and the average lane stay duration are the average transaction duration and the average lane stay duration of the toll station to be discriminated.

[0058] For a highway toll station, the traffic capacity of the toll station is evaluated by an algorithm and data. The purpose of the evaluation is mainly to ensure the smoothness of the traffic flow and to avoid the formation of a large area of congestion at the toll station. After the evaluation, how to reasonably allocate the lanes to reduce the congestion of the toll station. Through the analysis of the traffic volume and the nearby toll stations, certain decision support is provided for the layout of the newly opened toll station.

[0059] In some embodiments, the snapshot coil and the drop rod coil are virtual coils; or the snapshot coil is a virtual coil and the drop rod coil is a physical coil; or the snapshot coil and the drop rod coil are physical coils.

[0060] As an example, a camera is arranged for each toll lane, and the camera is used to capture images of the entrance, exit and area where the barrier gate is located of the toll lane; when the snapshot coil is a virtual coil and the drop rod coil is a physical coil, the snapshot coil can be configured for the camera of each toll lane; for each first vehicle passing through the snapshot coil, a first time when the camera detects that the first vehicle coincides with the snapshot coil is determined, a first time sequence is obtained, and a first image is obtained at the first time, the first image including the first vehicle; the first image is identified to obtain the license plate number of the first vehicle, and the first time is labeled using the license plate number of the first vehicle; for each second vehicle passing through the drop rod coil, a second time when the drop rod coil is triggered is determined, a second time sequence is obtained; a first correspondence relationship between the determined first time and the second time of the first time sequence and the second time sequence is matched, and the first correspondence relationship is labeled by the license plate number.

[0061] Among them, the video stream of the toll lane can be obtained through the camera, target recognition can be performed on the key frame in the video stream, the bounding box of the vehicle in the image can be recognized, it can be determined that the first vehicle reaches the snapshot coil when the intersection over union of the snapshot coil and the bounding box of the first vehicle exceeds a threshold, the first image when the intersection over union exceeds the threshold is obtained, and the first time when the first image is captured is determined. Among them, the algorithm used for target recognition can include R-CNN, YOLO or SSD, etc.

[0062] There are many methods for license plate positioning, which can be summarized as using gradient information projection statistics, using wavelet transform for segmentation, license plate region scanning and connecting algorithm, and using region characteristics to train a classifier. This is the most critical first step in the license plate recognition algorithm, and the effect directly affects the recognition rate. The heuristic license plate positioning algorithm is used, and the comprehensive license plate detection rate is as high as 99.5%.

[0063] Character recognition is the core of the entire system. In its practical application, the most critical problem is the selection of character features. If the feature selection does not have good discrimination, not only the feature dimension is large, but also it is difficult to obtain good recognition effect. Large-scale neural network recognition algorithm can be used.

[0064] Similar characters on the license plate, due to the shape is relatively close, affected by image resolution, light, license plate pollution, general classification algorithm, easy to appear misidentification. Can be easy to confuse characters special processing, similar characters such as "2" and "Z", "0" and "D", etc., can be effectively identified. Make the recognition effect in any extreme complex situation still maintain high recognition rate.

[0065] In addition, for each third vehicle passing through the barrier, a third time of the barrier lifting rod is determined, and a third time sequence is obtained; a second correspondence relationship of the determined third time and the second time of the third time sequence and the second time sequence is matched, and the second correspondence relationship is marked by the license plate number.

[0066] Among them, the second correspondence relationship can be the falling rod coil arrival time of the previous vehicle passing through and the lifting rod time of the current vehicle passing through.

[0067] The first time sequence, the second time sequence and the third time sequence are determined according to a target period, and there is a repeated time period between adjacent two target periods; the length of the target period is related to the number of recorded time points. For example, the repeated time points between adjacent two periods include at least the snapshot coil arrival time, the lifting rod time and the falling rod coil arrival time of one vehicle.

[0068] Through the embodiment of the present application, the snapshot coil arrival time, the lifting rod time and the falling rod coil arrival time of the passing vehicle can be effectively determined, calculated and stored in the form of time points, the calculation amount is small, the storage resource consumption is low, and the accuracy is high. In addition, the time sequence is set to be periodic, and there are repeated points between adjacent periods, which can reduce the length of a single time sequence, reduce the error rate, and through the setting of repeated points, the time sequence can be registered, and the situation that the data is abnormal due to the incomplete time points of the first and last vehicles can be reduced.

[0069] Figure 2 A structure schematic diagram of a highway toll station traffic capacity index discrimination device provided by the embodiment of the present application. The toll station includes one or more toll lanes, each toll lane is provided with a barrier, a snapshot coil and a falling rod coil, and the barrier includes a barrier; as shown in the figure, the device includes: Figure 2

[0070] The first determination module 301 is configured to determine, for each passing vehicle of the to-be-discriminated toll station, the snapshot coil arrival time, the lifting rod time and the falling rod coil arrival time of each passing vehicle;

[0071] The second determination module 302 is configured to determine, for each current vehicle, the transaction duration of the current vehicle based on the falling rod coil arrival time of the previous vehicle passing through and the lifting rod time of the current vehicle passing through.

[0072] ​The third determination module 303 is configured to determine, for each current vehicle, a lane stay duration of the current vehicle based on a snap loop arrival time of the current vehicle and a drop loop arrival time of the current vehicle.

[0073] The statistical module 304 is configured to, for each toll lane of the to-be-judged toll station, statistically determine an average transaction duration and an average lane stay duration of the entire toll station based on a transaction duration of each vehicle and a lane stay duration of each vehicle.

[0074] The evaluation module 305 is configured to evaluate a traffic capacity of the to-be-judged toll station based on traffic volume data, the average transaction duration and the average lane stay duration of the to-be-judged toll station.

[0075] In some embodiments, the traffic capacity of the to-be-judged toll station = traffic volume / (average traffic volume of all stations) / (average transaction duration+average lane stay duration).

[0076] In some embodiments, the snap loop and the drop loop are virtual loops; or the snap loop is a virtual loop and the drop loop is a physical loop; or the snap loop and the drop loop are physical loops.

[0077] In some embodiments, a camera is arranged for each toll lane, and the camera is configured to capture images of an entrance, an exit and an area where a barrier gate is located of the toll lane; when the snap loop is a virtual loop and the drop loop is a physical loop, the device further comprises a recording module configured to:

[0078] The camera for each toll lane is configured with a snap loop;

[0079] For each first vehicle passing through the snap loop, a first time at which the camera detects that the first vehicle coincides with the snap loop is determined to obtain a first time sequence, and a first image is obtained at the first time, and the first image includes the first vehicle;

[0080] The first image is identified to obtain a license plate number of the first vehicle, and the first time is labeled using the license plate number of the first vehicle;

[0081] For each second vehicle passing through the drop loop, a second time at which the drop loop is triggered is determined to obtain a second time sequence;

[0082] A first correspondence relationship between the determined first time and the second time of the first time sequence and the second time sequence is matched, and the first correspondence relationship is labeled by the license plate number.

[0083] In some embodiments, the recording module is further configured to:

[0084] For each third vehicle passing through the barrier gate, a third time at which the barrier gate is lifted is determined to obtain a third time sequence.

[0085] The second correspondence between the third time series and the second time series is determined by matching the third time series and the second time series, and the second correspondence is marked by the license plate number.

[0086] In some embodiments, the second correspondence is the arrival time of the barrier coil when the preceding vehicle passes and the time when the barrier is raised when the current vehicle passes.

[0087] In some embodiments, the first time series, the second time series, and the third time series are all determined according to a target period, and there are overlapping time periods between two adjacent target periods; the length of the target period is related to the number of recorded time points.

[0088] This application also provides an electronic device, such as... Figure 3 As shown, it includes a processor 410, a communication interface 420, a memory 430, and a communication bus 440, wherein the processor 410, the communication interface 420, and the memory 430 communicate with each other through the communication bus 440.

[0089] Memory 430 is used to store computer programs;

[0090] When the processor 410 executes the program stored in the memory 430, it implements the method steps as described in any of the above embodiments.

[0091] The communication bus mentioned above can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. This communication bus can be divided into address bus, data bus, control bus, etc. For ease of illustration, only one thick line is used to represent it in the diagram, but this does not mean that there is only one bus or one type of bus.

[0092] The communication interface is used for communication between the aforementioned electronic devices and other devices.

[0093] The memory may include random access memory (RAM) or non-volatile memory (NVM), such as at least one disk storage device. Optionally, the memory may also be at least one storage device located remotely from the aforementioned processor.

[0094] The processor described above can be a general processor, including a central processing unit (CPU), a network processor (NP), etc.; can also be a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic device, a discrete gate or transistor logic device, a discrete hardware component.

[0095] The implementation manners and beneficial effects of the electronic device in the above embodiments can be achieved by referring to the steps in the above embodiments, and thus, the specific working process and beneficial effects of the electronic device provided by the embodiments of the present application are not repeated here. Figure 1 The implementation manners and beneficial effects of the electronic device in the above embodiments can be achieved by referring to the steps in the above embodiments, and thus, the specific working process and beneficial effects of the electronic device provided by the embodiments of the present application are not repeated here.

[0096] In another embodiment provided by the present application, a computer readable storage medium is provided, and the computer readable storage medium stores instructions, when the instructions are run on a computer, the computer executes the highway toll station traffic capacity index determination method in any of the above embodiments.

[0097] In another embodiment provided by the present application, a computer program product containing instructions is provided, when the instructions are run on a computer, the computer executes the highway toll station traffic capacity index determination method in any of the above embodiments.

[0098] Those skilled in the art should understand that the embodiments in the embodiments of the present application can be provided as a method, a system or a computer program product. Therefore, the embodiments in the present application can be in the form of a complete hardware embodiment, a complete software embodiment or an embodiment combining software and hardware aspects. Moreover, the embodiments in the present application can be in the form of a computer program product implemented on one or more computer usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer usable program codes.

[0099] The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart block or blocks. Figure 1 one or more flowcharts and / or blocks Figure 1 means for functionally implementing the steps listed in the flowchart block or blocks.

[0100] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instructions which implement the function specified in the flowchart block or blocks. Figure 1 one or more flowcharts and / or blocks Figure 1 means for functionally implementing the steps listed in the flowchart block or blocks.

[0101] The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart block or blocks. Figure 1 one or more flowcharts and / or blocks Figure 1 means for functionally implementing the steps listed in the flowchart block or blocks.

[0102] While preferred embodiments of the application have been described, modifications and variations can be apparent to those skilled in the art once aware of the general underlying concepts. Therefore, it is intended that the scope of the appended claims should include all such modifications and variations.

[0103] Obviously, numerous modifications and variations of the present embodiments are possible in light of the above teachings. It is therefore to be understood that within the scope of the appended claims and their equivalents, the application can be practiced otherwise than as specifically described.

Claims

1. A method of determining the capacity index of a highway toll station, characterized by, The toll station comprises one or more toll lanes, and each toll lane is provided with a barrier gate, a snapshot coil and a drop pole coil, the barrier gate comprising a barrier; the method comprises: For each passing vehicle of the toll station to be judged, determining the snapshot coil arrival time, the pole lifting time and the drop pole coil arrival time of each passing vehicle; For each current vehicle, determining the transaction duration of the current vehicle based on the drop pole coil arrival time of the previous vehicle and the pole lifting time of the current vehicle; For each current vehicle, determining the lane stay duration of the current vehicle based on the snapshot coil arrival time of the current vehicle and the drop pole coil arrival time of the current vehicle; For each toll lane of the toll station to be judged, based on the transaction duration of each vehicle and the lane stay duration of each vehicle, the average transaction duration and the average lane stay duration of the entire toll station are counted; Based on the traffic flow data, the average transaction duration and the average lane stay duration of the toll station to be judged, the traffic capacity of the toll station to be judged is evaluated; the traffic capacity of the toll station to be judged is calculated based on the following formula: ； A camera is arranged for each toll lane, and the camera is used to shoot images of the entrance, exit and area of the barrier gate of the toll lane; when the snapshot coil is a virtual coil and the drop pole coil is a physical coil, the method further comprises: The snapshot coil is configured for the camera of each toll lane; For each first vehicle passing through the snapshot coil, a first time when the camera detects that the first vehicle coincides with the snapshot coil is determined to obtain a first time sequence, and a first image is obtained at the first time, the first image comprising the first vehicle; The first image is identified to obtain the license plate number of the first vehicle, and the first time is labeled using the license plate number of the first vehicle; For each second vehicle passing through the drop pole coil, a second time when the drop pole coil is triggered is determined to obtain a second time sequence; A first correspondence relationship between the determined first time and second time of the first time sequence and the second time sequence is matched, and the first correspondence relationship is labeled by the license plate number; For each third vehicle passing through the barrier gate, a third time when the barrier gate lifts the pole is determined to obtain a third time sequence; A second correspondence relationship between the determined third time and second time of the third time sequence and the second time sequence is matched, and the second correspondence relationship is labeled by the license plate number; the second correspondence relationship is the drop pole coil arrival time of the previous vehicle and the pole lifting time of the current vehicle.

2. The method of claim 1, wherein, The snapshot coil and the drop pole coil are virtual coils; or the snapshot coil is a virtual coil and the drop pole coil is a physical coil; or the snapshot coil and the drop pole coil are physical coils.

3. The method of claim 1, wherein, The first time sequence, the second time sequence and the third time sequence are determined according to a target period, and there is a repeated time period between adjacent two target periods; the length of the target period is related to the number of recorded time points.

4. A highway tollgate capacity index determination device characterized by comprising: The toll station comprises one or more toll lanes, and each toll lane is provided with a barrier gate, a snap coil and a drop pole coil, the barrier gate comprises a barrier; the device comprises: A first determination module is configured to determine, for each passing vehicle of a toll station to be judged, a snap coil arrival time, a pole lifting time and a drop pole coil arrival time of each passing vehicle; A second determination module is configured to determine, for each current vehicle, a transaction duration of the current vehicle based on the drop pole coil arrival time of the preceding vehicle and the pole lifting time of the current vehicle; A third determination module is configured to determine, for each current vehicle, a lane stay duration of the current vehicle based on the snap coil arrival time of the current vehicle and the drop pole coil arrival time of the current vehicle; A statistical module is configured to, for each toll lane of the toll station to be judged, statistically determine an average transaction duration and an average lane stay duration of the entire toll station based on the transaction duration of each vehicle and the lane stay duration of each vehicle; An evaluation module is configured to evaluate the traffic capacity of the toll station to be judged based on traffic volume data, the average transaction duration and the average lane stay duration of the toll station to be judged; the traffic capacity of the toll station to be judged is calculated based on the following formula: ； A camera is arranged for each toll lane, and the camera is configured to capture images of the entrance, exit and area of the barrier gate of the toll lane; when the snap coil is a virtual coil and the drop pole coil is a physical coil, the device further comprises a recording module configured to: The snap coil is configured for the camera of each toll lane; For each first vehicle passing through the snap coil, a first time when the camera detects that the first vehicle coincides with the snap coil is determined to obtain a first time sequence, and a first image is obtained at the first time, the first image comprising the first vehicle; The first image is identified to obtain the license plate number of the first vehicle, and the first time is labeled using the license plate number of the first vehicle; For each second vehicle passing through the drop pole coil, a second time when the drop pole coil is triggered is determined to obtain a second time sequence; A first correspondence relationship between the determined first time and second time of the first time sequence and the second time sequence is matched, and the first correspondence relationship is labeled by the license plate number; For each third vehicle passing through the barrier gate, a third time when the barrier gate lifts the pole is determined to obtain a third time sequence; A second correspondence relationship between the determined third time and second time of the third time sequence and the second time sequence is matched, and the second correspondence relationship is labeled by the license plate number; the second correspondence relationship is the drop pole coil arrival time of the preceding vehicle and the pole lifting time of the current vehicle.

5. An electronic device, comprising: The electronic device comprises a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other through the communication bus; The memory is configured to store a computer program; The processor is configured to execute the program stored on the memory to implement the method steps of any one of claims 1-3.

6. A computer-readable storage medium, characterized in that, The computer readable storage medium stores a computer program, and the computer program is executed by the processor to implement the method steps in any one of claims 1-3.

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