Expressway fee evasion inspection method and system

Abstract

The invention discloses an expressway fee evasion inspection method and system. The method comprises the following steps: obtaining vehicle information, driving information and fee information of a vehicle; matching and screening the vehicle information, the driving information and the cost information to obtain unmatched information; and re-matching and analyzing the unmatched information to obtain a vehicle with a problem. According to the method, screening and matching analysis are performed through the vehicle information, the driving information and the cost information, automatic preliminary judgment can be performed through the obtained recorded information, the manual processing cost is reduced, the processing efficiency is improved, and further processing efficiency and results can be obtained.

Description

Technical Field

[0001] The present application relates to a method and system for investigating toll evasion on expressways. Background Art

[0002] Expressways refer to multi-lane roads that are designed for vehicles to travel in different directions and lanes, with fully controlled access. The construction and management costs are relatively high, so they are generally charged. Currently, charges are mostly made based on driving distance and bridge and tunnel conditions.

[0003] The main common ways of toll evasion on the entire road network currently include changing the billing vehicle type, discrepancies in entry and exit information, card swapping, inconsistent entry and exit license plates, inconsistencies in billing paths and license plate recognition paths, discrepancies in entry and exit vehicle types, abnormal large vehicle with small license plates, abnormal number of axles of large vehicle with small license plates, abnormal type of large vehicle with small license plates, malicious U / J-type driving, no capture throughout the entire process, timeouts, and bottom-line charges.

[0004] For vehicles that evade fees, the current main audit method is for auditors to manually use office software such as EXCEL and WORD to conduct manual analysis in combination with upstream systems, and check the data one by one with the traffic flow information, ETC issuance data, traffic control data, license plate recognition data, etc., to find suspected vehicles that evade fees. And by manually adding work order information (work order number, work order title, suspected evasion type, license plate number, color of passing vehicle, passing vehicle model, number of axles of passing vehicle, entry station, entry time, exit station, exit time, passing medium, etc.), manually verify whether fees are evaded. If fees are evaded, add an audit work order, and the auditor reviews the audit work order. The audit work order stage of the vehicle is completed.

[0005] The main problems of toll evasion inspection are: on the one hand, most highway operating units have more toll stations and sections under their jurisdiction, and highways generate massive business data every day, but the current stage does not make enough use of these data. On the other hand, toll evasion behaviors are mostly initiated manually, which has some obvious disadvantages. 1. Low efficiency: The process of initiating a verified work order is relatively cumbersome. Manually, it is necessary to use office software such as EXCEL and WORD and upstream systems to analyze vehicle traffic flow information, gantry transaction data, license plate recognition path, toll path, audit path, minimum fee amount, issuance information, trajectory information and other data; 2. High error rate of work orders: Manually, it is easy to be affected by inattention, fatigue and other conditions, and it is easy to make mistakes due to the large amount of data and many comparison points; 3. High cost: Due to the timeliness of work orders, most highway operating units need multiple employees to verify, initiate and approve work orders, etc., which increases the operating costs of enterprises. Summary of the invention

[0006] In order to solve the above problems, the present application discloses a method for investigating toll evasion on expressways, comprising the following steps:

[0007] Obtain vehicle information, driving information, and cost information of the vehicle;

[0008] Match and filter the vehicle information, driving information and fee information to obtain unmatched information;

[0009] Re-matching and analyzing the mismatched information can obtain the problematic vehicles. This application can screen and match the vehicle information, driving information and cost information, and can make an automated preliminary judgment based on the obtained recorded information, thereby reducing manual processing costs, improving processing efficiency, and obtaining further processing efficiency and results.

[0010] Preferably, the vehicle information includes license plate number, vehicle model, and vehicle size;

[0011] The driving information includes site entry information, site exit information, and monitoring gantry information;

[0012] The fee information is the toll paid by the vehicle.

[0013] Preferably, matching screening is performed as follows:

[0014] Initial vehicle screening:

[0015] Vehicle track screening:

[0016] Problem vehicle screening.

[0017] Preferably, the preliminary screening is performed as follows:

[0018] Compare the vehicle information in the station information with the vehicle information leaving the station information. If the vehicle information is consistent, the vehicle driving trajectory is obtained in combination with the vehicle with monitoring gantry information. The trajectory fee is obtained based on the vehicle driving trajectory. The trajectory fee is compared with the toll. For vehicles with inconsistent comparisons, these vehicles are determined as vehicles with problems, and other vehicles are further screened.

[0019] For vehicles that do not have monitoring gantry information, several predicted vehicle trajectories are obtained through the entry and exit site information, and then the number of monitoring gantries for each vehicle predicted trajectory is obtained based on the vehicle predicted trajectory. If there are no monitoring gantries for all vehicle predicted trajectories and the fee information is lower than the fee threshold, the inspection of this type of vehicle is excluded.

[0020] Preferably, the trajectory screening is performed in the following manner:

[0021] For vehicles that have been preliminarily screened, the vehicle driving trajectory Y1 is obtained by combining the vehicles with monitoring gantry information, and the shortest route vehicle predicted trajectory Y2 is obtained by the station entry information and station exit information, and the length ratio of the two trajectories Z=Y1 / Y2 is calculated;

[0022] Calculate the average vehicle speed V passing the same entry and exit stations within the set time, and calculate the speed ratio of the monitored vehicle C = V i / V.

[0023] Preferably, the problem vehicle screening is performed in the following manner:

[0024] Calculate the determination coefficient λ = Z / C 0.5 ;

[0025] Sort by the size of λ, and determine the problematic vehicles according to the screening ratio μ. This application can find problematic vehicles from the overall level by comparing the speed and trajectory length, avoid omissions, and accurately locate vehicles that maliciously evade fees.

[0026] Preferably, the μ is 10-15%.

[0027] Preferably, re-matching refers to a process of re-matching a problematic vehicle to obtain a real-form path.

[0028] Preferably, the rematching is performed in the following manner:

[0029] Dismantle the entry and exit sites of all vehicles with problems;

[0030] Based on the exit site of the vehicle to be matched, the average speed of all vehicles leaving the exit site on the highway ±40% is used as the driving speed, and the time when the vehicle to be matched is on the highway is used as the time to calculate its driving distance, and then match it based on the vehicle model and vehicle size in the vehicle information to obtain the entry site information;

[0031] Review the vehicle driving trajectory of the license plate number of the vehicle to be matched when entering the site and leaving the site to obtain the node where the problem occurs. This application uses the departure site as the base point to find matching vehicles, and can find the real vehicle path for the problematic vehicle, and accurately find the location where the problem occurs for vehicles with changed license plates or no capture during the entire process.

[0032] On the other hand, the present application discloses a system for investigating highway toll evasion, including the following modules:

[0033] The vehicle information module is used to obtain the vehicle information, driving information and cost information of the vehicle;

[0034] A matching and screening module is used to match and screen vehicle information, driving information and fee information to obtain unmatched information;

[0035] The matching analysis module is used to perform matching analysis on the mismatching information to obtain the vehicles with problems.

[0036] 1. This application performs screening and matching analysis through vehicle information, driving information and cost information, and can make automated preliminary judgments based on the obtained record information, thereby reducing manual processing costs, improving processing efficiency, and also obtaining further processing efficiency and results.

[0037] 2. This application can find problematic vehicles from an overall level by comparing speed and trajectory length, avoid omissions, and accurately locate vehicles that maliciously evade fees.

[0038] 3. This application uses the departure site as a base point to find matching vehicles. It can find the real vehicle path for the problematic vehicle, and accurately find the place where the problem occurs for problematic vehicles that have changed license plates or have no snapshots throughout the entire process. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0040] Figure 1 This is a schematic diagram of Example 1.

[0041] Figure 2 This is a schematic diagram of Example 2. DETAILED DESCRIPTION

[0042] In order to clearly illustrate the technical features of the present solution, the present application is described in detail below through specific implementation methods and in conjunction with the accompanying drawings.

[0043] In a first embodiment, a method for investigating toll evasion on a highway includes the following steps:

[0044] S101. Obtain vehicle information, driving information and cost information of the vehicle;

[0045] The vehicle information includes license plate number, vehicle model, and vehicle size;

[0046] The driving information includes site entry information, site exit information, and monitoring gantry information;

[0047] The fee information is the toll paid by the vehicle.

[0048] S102. Match and filter the vehicle information, driving information and cost information to obtain unmatched information;

[0049] Proceed as follows:

[0050] S1021. Preliminary vehicle screening:

[0051] Compare the vehicle information in the station information with the vehicle information leaving the station information. If the vehicle information is consistent, the vehicle driving trajectory is obtained in combination with the vehicle with monitoring gantry information. The trajectory fee is obtained based on the vehicle driving trajectory. The trajectory fee is compared with the toll. For vehicles with inconsistent comparisons, these vehicles are determined as vehicles with problems, and other vehicles are further screened.

[0052] For vehicles that do not have monitoring gantry information, several predicted vehicle trajectories are obtained through the entry and exit site information, and then the number of monitoring gantries for each vehicle predicted trajectory is obtained based on the vehicle predicted trajectory. If there are no monitoring gantries for all vehicle predicted trajectories and the fee information is lower than the fee threshold, the inspection of this type of vehicle is excluded.

[0053] S1022. Vehicle track screening:

[0054] For vehicles that have been preliminarily screened, the vehicle driving trajectory Y1 is obtained by combining the vehicles with monitoring gantry information, and the shortest route vehicle predicted trajectory Y2 is obtained by the station entry information and station exit information, and the length ratio of the two trajectories Z=Y1 / Y2 is calculated;

[0055] Calculate the average vehicle speed V passing the same entry and exit stations within the set time, and calculate the speed ratio of the monitored vehicle C = V i / V.

[0056] S1023. Screening of problem vehicles.

[0057] The problem vehicle screening is carried out as follows:

[0058] Calculate the determination coefficient λ = Z / C 0.5 ;

[0059] Sort by the size of λ and determine the vehicles with problems based on the screening ratio μ.

[0060] The μ is 10-15%.

[0061] S103. Re-match and analyze the mismatched information to obtain the vehicle with the problem.

[0062] Rematching refers to the process of rematching the problematic vehicle to obtain the true path.

[0063] The rematching is performed as follows:

[0064] Dismantle the entry and exit sites of all vehicles with problems;

[0065] Based on the exit site of the vehicle to be matched, the average speed of all vehicles leaving the exit site on the highway ±40% is used as the driving speed, and the time when the vehicle to be matched is on the highway is used as the time to calculate its driving distance, and then match it based on the vehicle model and vehicle size in the vehicle information to obtain the entry site information;

[0066] Review the vehicle driving trajectories of the license plate numbers of the vehicles to be matched when entering the site and leaving the site to obtain the nodes where the problems occur.

[0067] In a second embodiment, a highway toll evasion inspection system includes the following modules:

[0068] The vehicle information module 201 is used to obtain vehicle information, driving information and cost information of the vehicle;

[0069] A matching and screening module 202 is used to match and screen the vehicle information, the driving information and the fee information to obtain unmatched information;

[0070] The matching analysis module 203 is used to perform matching analysis on the mismatching information to obtain vehicles with problems.

[0071] The above are only embodiments of the present application and are not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included within the scope of the claims of the present application.

Claims

1. A method for investigating toll evasion on expressways, characterized in that: The steps include: Obtain vehicle information, driving information, and cost information of the vehicle; Match and filter the vehicle information, driving information and fee information to obtain unmatched information; Rematch and analyze the mismatched information to obtain the problematic vehicle.

2. A highway toll evasion inspection method as claimed in claim 1, characterized in that: The vehicle information includes license plate number, vehicle model, and vehicle size; The driving information includes site entry information, site exit information, and monitoring gantry information; The fee information is the toll paid by the vehicle.

3. A method for investigating highway toll evasion as claimed in claim 2, characterized in that: Matching screening is performed as follows: Initial vehicle screening: Vehicle track screening: Problem vehicle screening.

4. A method for investigating toll evasion on a highway as claimed in claim 3, characterized in that: The preliminary screening is carried out as follows: Compare the vehicle information in the station information with the vehicle information leaving the station information. If the vehicle information is consistent, the vehicle driving trajectory is obtained in combination with the vehicle with monitoring gantry information. The trajectory fee is obtained based on the vehicle driving trajectory. The trajectory fee is compared with the toll. For vehicles with inconsistent comparisons, these vehicles are determined as vehicles with problems, and other vehicles are further screened. For vehicles that do not have monitoring gantry information, several predicted vehicle trajectories are obtained through the entry and exit site information, and then the number of monitoring gantries for each vehicle predicted trajectory is obtained based on the vehicle predicted trajectory. If there are no monitoring gantries for all vehicle predicted trajectories and the fee information is lower than the fee threshold, the inspection of this type of vehicle is excluded.

5. A method for investigating toll evasion on a highway as claimed in claim 3, characterized in that: The trajectory screening is performed as follows: For vehicles that have been preliminarily screened, the vehicle driving trajectory Y1 is obtained by combining the vehicles with monitoring gantry information, and the shortest route vehicle predicted trajectory Y2 is obtained by the station entry information and station exit information, and the length ratio of the two trajectories Z=Y1 / Y2 is calculated; Calculate the average vehicle speed V passing the same entry and exit stations within the set time, and calculate the speed ratio of the monitored vehicle C = V i / V.

6. A method for investigating toll evasion on a highway as claimed in claim 3, characterized in that: The problem vehicle screening is carried out as follows: Calculate the determination coefficient λ = Z / C 0.5 ; Sort by the size of λ and determine the vehicles with problems based on the screening ratio μ.

7. A method for investigating toll evasion on a highway as claimed in claim 6, characterized in that: The μ is 10-15%.

8. A method for investigating highway toll evasion as claimed in claim 7, characterized in that: Rematching refers to the process of rematching the problematic vehicle to obtain the true path.

9. A method for investigating highway toll evasion as claimed in claim 8, characterized in that: The rematching is performed as follows: Dismantle the entry and exit sites of all vehicles with problems; Based on the exit site of the vehicle to be matched, the average speed of all vehicles leaving the exit site on the highway ±40% is used as the driving speed, and the time when the vehicle to be matched is on the highway is used as the time to calculate its driving distance, and then match it based on the vehicle model and vehicle size in the vehicle information to obtain the entry site information; Review the vehicle driving trajectories of the license plate numbers of the vehicles to be matched when entering the site and leaving the site to obtain the nodes where the problems occur.

10. A system for implementing the highway toll evasion inspection method according to any one of claims 1 to 9, characterized in that: Includes the following modules: The vehicle information module is used to obtain the vehicle information, driving information and cost information of the vehicle; A matching and screening module is used to match and screen vehicle information, driving information and fee information to obtain unmatched information; The matching analysis module is used to perform matching analysis on the mismatching information to obtain the vehicles with problems.

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