CN115601967A - Data analysis method for UJ type driving fee evasion behavior of expressway - Google Patents
Data analysis method for UJ type driving fee evasion behavior of expressway Download PDFInfo
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Abstract
The invention relates to the technical field of highway electronic toll collection, in particular to a data analysis method for UJ type driving fee evasion behaviors of a highway, which comprises the following steps: s1, data cleaning: acquiring basic data of a highway portal frame, a vehicle entrance and exit and portal frame information assembly line; s2, calculating the distance length from the toll station A to the toll station B according to the existing toll station at the entrance and exit of the expressway and a portal; s3, calculating the average passing time of passing data of various vehicle types from the toll station A to the toll station B according to the existing passing data; s4, calculating the normal passing time of various vehicle types from the toll station A to the toll station B according to the existing highway regulation and driving according to the lowest speed limit; and S5, processing the traffic time obtained in the step 3 and the step 4 by adopting a weighting method, calculating a running time threshold value, and judging whether the vehicle runs in a UJ type.
Description
Technical Field
The invention relates to the technical field of highway electronic toll collection, in particular to a data analysis method for highway UJ type driving fee evasion behaviors.
Background
In order to maintain the normal charging order and the fair payment environment of the expressway, further strengthen the toll collection management, effectively prevent and restrain the behavior of stealing and escaping the toll, and ensure that the toll is collected according to the law strictly according to the charging standard, which is very urgent.
Although management departments actively adopt some control means, effective solutions are still lacked in practice, particularly, an efficient method is not available in the link of actively finding out vehicles suspected of stealing and escaping toll, the efficient method is usually carried out in a manual inquiry mode, the effect is extremely low, the original escaping mechanism and escaping tools fail in a dispute after a gantry sectional charging mode is adopted by national cancellation of provincial toll stations, and the original preventing and controlling technology is basically in a paralysis reconstruction state after the escaping mechanism and the escaping tools are changed in addition to the stealing and escaping method.
At present, vehicle fee evasion methods are different day by day, and some drivers often evade fees by means of UJ type driving, which is specifically shown in the way that after a vehicle enters a high speed, the vehicle goes from a point A to a point C, the distance between the two points is assumed to be 10km, then a turning position is found from the vicinity of the point C to a point B, the distance between the two points AB is assumed to be 5km, only tolls at the two points AB are collected for ensuring the legal rights and interests of the drivers according to the current charging rules and because of insufficient technical means, and the purpose of paying less tolls is achieved.
Therefore, it is necessary to provide a data analysis method for the UJ-type driving fee evasion behavior on the expressway, which solves the above problems.
Disclosure of Invention
The invention provides a data analysis method for UJ type driving fee evasion behaviors of a highway, aiming at overcoming at least one defect (deficiency) in the prior art.
In order to solve the technical problems, the technical scheme of the invention is as follows: a data analysis method for UJ type driving fee evasion behaviors of an expressway comprises the following steps:
s1, data cleaning: acquiring basic data of a highway portal frame, a vehicle entrance and exit and portal frame information streamline;
s2, calculating the distance length from the toll station A to the toll station B according to the existing toll station at the entrance and exit of the expressway and a portal;
s3, calculating the average passing time of passing data of various vehicle types from the toll station A to the toll station B according to the existing passing data;
s4, calculating the normal passing time of various vehicle types from the toll station A to the toll station B according to the existing highway regulation and driving according to the lowest speed limit;
s5, processing the traffic time obtained in the steps 3 and 4 by adopting a weighting method, calculating a running time threshold value, and judging whether the vehicle runs in a UJ mode;
further, in the step S2, the adopted route is a minimum cost mileage route.
Further, the step S3 includes the following steps:
s31, calculating the average passing time of the vehicles from the toll station A to the toll station B in the past one month according to the existing passing data
S32, calculating the average passing time of one month from the toll station A to the toll station B of various vehicle types according to the existing passing data
S33, calculating the average vehicle passing time of the current time period from the toll station A to the toll station B corresponding to seven days ago according to the existing passing data;
s34, calculating the average vehicle passing time of the optimal mileage from the toll station A to the toll station B according to the existing passing data
Further, the step S31 calculates an average transit time of all vehicles traveling from the toll station a to the toll station B in the past month
Is that
sum (time) is the sum of the time of all vehicles traveling from the A toll station to the B toll station in a month, and count (time) is the total traffic flow number of all vehicles traveling from the A toll station to the B toll station in a month, wherein the path is the minimum toll mileage path.
Further, the step S32 calculates the average passing time of the past one month from the toll station a to the toll station B for each type of vehicle
Namely, the average passing time of the path from the toll station A to the toll station B as the minimum charge mileage path is calculated according to the classification form of the vehicle types, and the final average time of a certain vehicle type is calculated and substituted into the corresponding average time
Further, the step S33 calculates the average passing time of the vehicle in the current time period seven days before the travel route from the toll station a to the toll station B is the minimum cost mileage route, and the current time period seven days before the travel route is 30 minutes before and after the same time seven days before the entrance time of the vehicle entering the high speed entrance; namely selecting sum (time) as the sum of the passing time of all vehicles in one hour before seven days, and sum (count) as the number of all traffic streams in one hour before seven days.
Further, the S34 calculates the average vehicle passing time of the optimal mileage from the toll station A to the toll station B
The optimal mileage route is a route with the largest traffic route ratio among all the traffic flows from the toll station A to the toll station B in the past month.
Further, in step S4, the normal passing time from the toll station a to the toll station B for traveling according to the lowest speed limit is calculated, where the lowest speed limit refers to the lowest speed per hour specified for the vehicle to pass through the road section and the lowest speed per hour for traveling on different road sectionsThe speed per hour has difference, and is calculated according to the road section length Lk and the road section speed limit Vk of the travel from the toll station A to the toll station B, and the normal travel time x is as follows:
further, in step S5, the 5 average transit times are weighted by using a weighting method, that is, each average transit time is weighted by 20%.
Further, in step S5, a travel time threshold from the toll station a to the toll station B is set, and if a matching result is greater than the travel time threshold, the vehicle is determined to have suspicion of UJ-type driving, and if a matching result is less than the travel time threshold, the vehicle is determined to have no UJ-type driving.
Compared with the prior art, the technical scheme of the invention has the beneficial effects that:
the invention discloses a data analysis method of UJ type driving fee evasion behaviors on a highway, which analyzes the running water of portal information by utilizing basic data of a portal of the highway and vehicle entrances and exits, can quickly, flexibly and accurately identify the UJ type driving fee evasion behaviors, and obtains path information conforming to UJ type driving by calculating the lengths and the cost amounts of different driving paths of the same entrance station, so that the final average passing time is supported by physical data; by calculating the average time of different dimensions, the problems of road sections, vehicles and time are considered in multiple directions, the error of external factors is reduced, and the identification accuracy and the coverage rate are improved; the final average time is calculated through an algorithm, judgment is carried out through a threshold value, processing can be carried out according to the conditions of all road sections, and the method has wide adaptability.
Drawings
Fig. 1 is a U-shaped driving path diagram in embodiment 1 of the data analysis method of express way UJ-shaped driving fee evasion behavior in the present invention.
Detailed Description
The drawings are for illustrative purposes only and are not to be construed as limiting the patent; for the purpose of better illustrating the embodiments, certain features of the drawings may be omitted, enlarged or reduced, and do not represent the size of an actual product; it will be understood by those skilled in the art that certain well-known structures in the drawings and descriptions thereof may be omitted.
In the description of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "mounted" and "connected" are to be interpreted broadly, e.g., as being either fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, so to speak, as communicating between the two elements. The specific meaning of the above terms in the present invention can be understood in specific cases to those skilled in the art. The technical solution of the present invention is further described below with reference to the accompanying drawings and examples.
As shown in fig. 1, a data analysis method for freeway UJ-type driving fee evasion behavior includes the following steps:
s1, data cleaning: acquiring basic data of a highway portal frame, a vehicle entrance and exit and portal frame information assembly line;
s2, calculating the distance length from the toll station A to the toll station B according to the existing toll station at the entrance and exit of the expressway and a portal;
s3, calculating the average passing time of passing data of various vehicle types from the toll station A to the toll station B according to the existing passing data;
s4, calculating the normal passing time of various vehicle types from the toll station A to the toll station B according to the existing highway regulation and driving according to the lowest speed limit;
s5, processing the traffic time obtained in the step 3 and the step 4 by adopting a weighting method, calculating a running time threshold value, and judging whether the vehicle runs in a UJ mode;
in step S2 of the present invention, the route used is a minimum cost mileage route, and in step S3, the present invention includes the steps of:
s31, calculating the average passing time of the vehicles from the toll station A to the toll station B in the past one month according to the existing passing data
S32, calculating the average passing time of one month from the toll station A to the toll station B of various vehicle types according to the existing passing data
S33, calculating the average vehicle passing time of the current time period from the toll station A to the toll station B corresponding to seven days ago according to the existing passing data;
s34, calculating the average vehicle passing time of the optimal mileage from the toll station A to the toll station B according to the existing passing data
Wherein, step S31 calculates the average passing time of all vehicles taking the driving route from the A toll station to the B toll station as the minimum charge mileage route in the past one month
Is that
sum (time) is the sum of the time of the minimum fare mileage route from the A toll station to the B toll station for all vehicles in one month, count (time) is the total traffic flow number of the minimum fare mileage route from the A toll station to the B toll station for all vehicles in one month, and in step S32, the average passing time of one month before is calculated by calculating the average passing time of each type of vehicle from the A toll station to the B toll station
Namely, the average passing time of the path from the toll station A to the toll station B as the minimum charge mileage path is calculated according to the classification form of the vehicle types, and the final average time of a certain vehicle type is calculated and substituted into the corresponding average time
In step S33, the average passing time of the vehicle in the current period seven days before the vehicle enters the high-speed entrance is calculated, wherein the driving route from the toll station a to the toll station B is the minimum cost mileage route, and the current period seven days before the vehicle enters the high-speed entrance is 30 minutes before and after the same time seven days before the vehicle enters the high-speed entrance; that is, sum (time) is the sum of the passing time of all vehicles in an hour seven days before, sum (count) is the number of all traffic flows in an hour seven days before, and finally, in step S34, the average passing time of the vehicle with the best mileage from the toll station a to the toll station B is calculated
The optimal mileage route is a route with the largest traffic route ratio among all the traffic flows from the toll station A to the toll station B in the past month.
In step S4, the invention calculates the normal travel time from the toll station a to the toll station B according to the lowest speed limit, where the lowest speed limit is the lowest speed per hour that the vehicle can travel in the road section, and the lowest speed per hour for traveling on different road sections has differences, and the normal travel time x is calculated according to the length Lk of the road section traveled from the toll station a to the toll station B and the speed limit Vk of the road section:
in step S5, 5 average transit times are weighted by using a weighting method, that is, the weight per average time is 20%, and in addition, in step S5, a travel time threshold from the toll station a to the toll station B is set, and if a certain matching result is greater than the travel time threshold, it is determined that the vehicle is suspected of UJ-type driving, and if a certain matching result is less than the travel time threshold, it is determined that UJ-type driving does not exist.
Examples
In the embodiment, a vehicle with a VehicleType1 enters a high speed from an A toll station, turns around when driving to a service area, and exits a high speed from a B toll station, the vehicle passes through nine portal information of A1, B1, C1, D1, E1, E1, D1, C1 and B1 coded by the portal, the vehicle only collects the toll in the A → B section actually, and the behavior is identified by using a data analysis method of UJ type driving fee evasion behavior of a highway according to the condition.
A data analysis method for UJ type driving fee evasion behaviors of an expressway comprises the following steps:
s1, data cleaning: the method comprises the steps of obtaining portal frame codes of the highway portal frames, portal frame distance length, vehicle entrance and exit license plates, entrance and exit time, passing mileage and passing portal frame and portal frame license plate information.
And S2, calculating the distance length L from the entrance toll station A to the exit toll station b according to the existing toll station at the entrance and exit of the expressway and the portal, as shown in the following table 1.
TABLE 1A toll station to b toll station distance details
S3, calculating the average passing time of all vehicles from the toll station A to the toll station b 2021 in the month of 2 according to the existing passing data
As in table 2 below.
TABLE 2 average transit time
And S4, calculating the normal passing time x from the toll station A to the toll station b at the lowest speed limit (60 km./h) according to the existing current road section limit regulation, and obtaining the following table 3.
| L(km) | v(km/h) | x(min) | |
| 6.3 | 60 | 6.3 |
TABLE 3 Normal Driving time
S5, calculating the average passing time of the past one month from the toll station A to the toll station b of the Vehicletype1 according to the existing passing data
As in table 4 below.
TABLE 4 mean transit time
S6, the current vehicle entrance time is 2021 year, 02 month, 10 day 08:15, calculating the correspondence between the toll station A and the toll station b in seven days, namely, the correspondence between the toll station A and the toll station B in 2021, namely, the correspondence between the toll station A and the toll station B in 02, 03 and 07:45 to 08:45 average transit time of vehicle
As in table 5 below.
TABLE 5 average transit time
S7, calculating the average vehicle passing time of the optimal mileage from the toll station A to the toll station b according to the existing passing data
As in table 6 below.
TABLE 6 mean transit time
And S8, processing the average time by adopting a weighting method according to each average time obtained in the steps S3-S7. The final average time t =6.28min, as in table 7 below.
TABLE 7 Final mean time
And S9, setting a threshold value of the travel time from the toll station A to the toll station b based on the calculation result of the step S8, wherein the vehicle entrance time is 2021 year 02, month 10, day 08 and 15, the traffic time is 183 minutes and is more than 6.28 minutes, and UJ type travel exists.
In the drawings, the positional relationship is described for illustrative purposes only and is not to be construed as limiting the present patent; it should be understood that the above-described embodiments of the present invention are merely examples for clearly illustrating the present invention and are not intended to limit the embodiments of the present invention. Other variations and modifications will be apparent to persons skilled in the art in light of the above description. And are neither required nor exhaustive of all embodiments. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the claims of the present invention.
Claims (10)
1. A data analysis method for UJ type driving fee evasion behaviors of an expressway is characterized by comprising the following steps:
s1, data cleaning: acquiring basic data of a highway portal frame, a vehicle entrance and exit and portal frame information assembly line;
s2, calculating the distance length from the toll station A to the toll station B according to the existing toll station at the entrance and exit of the expressway and a portal;
s3, calculating the average passing time of passing data of various vehicle types from the toll station A to the toll station B according to the existing passing data;
s4, calculating the normal passing time of various vehicle types from the toll station A to the toll station B according to the existing highway regulation and driving according to the lowest speed limit;
and S5, processing the traffic time obtained in the step 3 and the step 4 by adopting a weighting method, calculating a running time threshold value, and judging whether the vehicle runs in a UJ mode.
2. The method for analyzing data of freeway UJ-type driving fee evasion behavior according to claim 1, wherein the route used in step S2 is a minimum cost mileage route.
3. The data analysis method for highway UJ-type driving fee evasion behavior according to claim 1, wherein said step S3 comprises the steps of:
s31, calculating the average passing time of the vehicles from the toll station A to the toll station B in the past one month according to the existing passing data
S32, calculating the average passing time of one month from the toll station A to the toll station B of various vehicle types according to the existing passing data
S33, calculating the average vehicle passing time of the current time period from the toll station A to the toll station B corresponding to seven days ago according to the existing passing data;
s34, calculating the average vehicle passing time of the optimal mileage from the toll station A to the toll station B according to the existing passing data
4. The method of claim 3The data analysis method for UJ driving fee evasion behaviors of the expressway is characterized in that the step S31 calculates the average passing time of all vehicles taking the driving route from the A toll station to the B toll station as the minimum fee mileage route in the past one month
Is that
sum (time) is the sum of the time of the minimum charge mileage route of all vehicles from the A toll station to the B toll station in one month, and count (time) is the total traffic flow quantity of the minimum charge mileage route of all vehicles from the A toll station to the B toll station in one month.
5. The data analysis method for UJ driving fee evasion behavior of expressway of claim 3, wherein said step S32 calculates the past one month average transit time of each type of vehicle from the toll station A to the toll station B
Namely, the average passing time of the path from the toll station A to the toll station B as the minimum charge mileage path is calculated according to the classification form of the vehicle types, and the final average time of a certain vehicle type is calculated and substituted into the corresponding average time
6. The data analysis method for UJ driving fee evasion behavior on expressway according to claim 3, wherein step S33 calculates the average vehicle passing time of the current time period seven days before the current time period corresponding to the mileage route with minimum charge from the toll station A to the toll station B, and the current time period seven days before is 30 minutes before and after the same time seven days before the entrance time of the vehicle entering the high speed entrance; namely selecting sum (time) as the sum of the passing time of all vehicles in one hour before seven days, and sum (count) as the number of all traffic streams in one hour before seven days.
7. The data analysis method for UJ driving fee evasion behavior on expressway of claim 3, wherein said step S34 calculates the average vehicle passing time of the best mileage from the toll station A to the toll station B
The optimal mileage route is a route with the largest traffic route ratio among all the traffic flows from the toll station A to the toll station B in the past month.
8. The data analysis method for UJ driving fee evasion behavior of expressway according to claim 1, wherein in step S4, the normal running time from the A toll station to the B toll station for running at the lowest speed limit is calculated, the lowest speed limit is the lowest speed per hour specified for the vehicle to run on the road section, the lowest speed per hour for running on different road sections has a difference, the normal running time x is calculated according to the length Lk of the road section from the A toll station to the B toll station and the speed Vk of the road section, and the normal running time x is:
9. the method for analyzing data of freeway UJ-type driving fee evasion behavior according to claim 1, wherein in step S5, 5 average transit times are weighted by using a weighting method, that is, each average transit time is weighted by 20%.
10. The method as claimed in claim 1, wherein in step S5, a time threshold for traveling from the toll station a to the toll station B is set, and if a matching result is greater than the time threshold, the vehicle is determined to be suspected of UJ driving, and if a matching result is less than the time threshold, the vehicle is determined not to have UJ driving.
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Application publication date: 20230113 |