CN108986478B - Method for screening illegal vehicles at fixed points - Google Patents
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Abstract
The invention provides a method for screening illegal vehicles at fixed points, which can automatically identify suspected vehicles with illegal behaviors near a target site by utilizing the existing equipment, is low in cost, takes short time, can be implemented without being noticed, and ensures the normal implementation of subsequent law enforcement work. It includes S1: determining longitude and latitude information of a target place; s2: determining a discrimination time period in one day in which monitoring needs to be implemented; s3: determining characteristic information of a target vehicle; s4: determining a total monitoring time for monitoring a target location; s5: determining discrimination information of a target vehicle; s6: determining target checkpoint monitoring equipment for investigating data; s7: generating a traffic track record set recorded by all target gate monitoring equipment; s8: screening out information related to non-target vehicles to generate a vehicle passing record set; s9: obtaining a target vehicle passing set in a screening time period; s10: generating a target vehicle passing total set within the total monitoring time; s11: and obtaining the information of the suspected vehicle with the illegal behaviors.
Description
Technical Field
The invention relates to the technical field of intelligent traffic control, in particular to a method for screening illegal vehicles at fixed points.
Background
In modern traffic control, it is often necessary to identify illegal vehicles; some illegal vehicles have fixed departure and departure places and fixed occurrence time; for example, a black school bus is generally a small minibus or more than seven passenger cars, and can be regularly parked near a school in the time period of going to school and going to school; for example, vehicles for illegally dumping building wastes, which are mostly heavy-duty trucks, can appear on a road section with rare pedestrian tracks at a time around the early morning; for such vehicles with the suspicion of violation, the existing monitoring and discriminating method mainly depends on the organization of manpower arrangement and control by the traffic management department of the public security organization to discriminate; the identification is carried out only by a manual mode, so that the cost is high, the time is long, and the failure of the screening work and the subsequent law enforcement work can be caused once a suspect discovers a control personnel.
Disclosure of Invention
In order to solve the problems of high cost, long time consumption and easy error caused by manual monitoring and screening of vehicles with illegal behaviors, the invention provides the method for screening the illegal vehicles at fixed points.
The technical scheme of the invention is as follows: a method for targeted screening of illegal vehicles, comprising the steps of:
s1: determining longitude and latitude information of a target place;
s2: determining a screening time period for monitoring a target site in one day;
s3: determining the vehicle characteristic information of a target vehicle to be screened to obtain the target vehicle characteristic;
s4: determining a total monitoring time for monitoring a target location;
s5: determining discrimination information of the target vehicle, wherein the discrimination information refers to which behavior characteristics of the target vehicle are determined to be illegal suspicion;
it is characterized by also comprising the following steps:
s6: determining target gate monitoring equipment for surveying data by performing spatial position superposition analysis on information point data in a geographic information system and gate monitoring equipment on a road according to the longitude and latitude information of the target location determined in the step S1;
the gate monitoring equipment is road vehicle intelligent monitoring recording equipment arranged along a road, and can record relevant information of each motor vehicle passing through the region, including number plate type, number plate number and passing time information;
the information point data refers to recorded data used for information acquisition in a geographic information system, and the information contained in each information point data comprises a name, a category, longitude and latitude, and information of nearby hotels, restaurants and shops;
the spatial position superposition analysis means that the spatial position superposition calculation is carried out on the position information of the checkpoint monitoring equipment and the information point data in a geographic information system to obtain the checkpoint monitoring equipment in a specified range;
s7: performing collision comparison on all the target gate monitoring devices and the data of the vehicle passing track information recorded by the road gate monitoring devices to generate a passing track record set recorded by all the target gate monitoring devices;
the traffic track record set records the collection of the number plate types, the number plate numbers, the traffic time, the passing gates, the passing roads and the passing areas;
s8: comparing the traffic track record set recorded by the target gate monitoring equipment with the target vehicle characteristics determined in the step S3, screening out information related to non-target vehicles, and generating a vehicle traffic record set;
s9: screening out data of all non-screening time periods by comparing the screening time periods determined in the step S2 with the vehicle passing record set to obtain a target vehicle passing set;
s10: counting all the target vehicle passing sets within the total monitoring time according to the total monitoring time determined in the step S4 to generate a target vehicle passing set;
s11: and comparing the data of the target vehicle passing aggregate according to the screening information determined in the step S5, and screening out data of non-target vehicles until information of a suspected vehicle with illegal behaviors is obtained, wherein the vehicle included in the information of the suspected vehicle is used as a target vehicle for subsequent law enforcement work until the illegal vehicle is confirmed to be obtained.
It is further characterized in that:
it further comprises step S12: performing further screening work on the suspected vehicle, wherein the screening work comprises the steps of shooting a passing track picture by appointing the checkpoint monitoring equipment, and performing image characteristic identification on the passing track picture to confirm vehicle illegal behaviors;
the total monitoring time comprises a continuous time period, a discontinuous time period, a time period before the implementation of the authentication work is started, and a time period after the implementation of the authentication work is started;
the target vehicle characteristics comprise vehicle type, vehicle body color and vehicle brand;
the screening information comprises the number of times of continuous occurrence at the target site, the number of days of continuous occurrence at the target site, and inconsistency of vehicle behavior with the registered contents in the information base of the vehicle management agency and the information base of the law enforcement agency.
According to the method for screening illegal vehicles at fixed points, the existing bayonet monitoring equipment is used for replacing manual observation, no new equipment is required to be added in terms of hardware, the implementation cost of the scheme is low, the monitoring implementation cannot surprise suspected vehicles, and the manpower resources are saved; the monitoring bayonet monitoring equipment for monitoring is determined by utilizing the longitude and latitude information of the target place and the spatial position superposition analysis technology, so that roads near the target place can be covered in a monitoring range, and no loophole is caused in monitoring; when the data set is screened, the vehicle passing record set is screened out from the passing track record sets recorded by all target gate monitoring equipment by utilizing the characteristics of the target vehicle, so that the data volume of the data set is rapidly reduced, and the subsequent operation is more rapid; compared with manual implementation, the suspected vehicle is screened through screening information capable of being quantitatively compared, the error rate is low, the speed is high, monitoring is automatically implemented without manual arrangement and control through the technical scheme of the invention, the suspected vehicle can be automatically confirmed as long as the characteristic is met, manual designation is not needed, the speed is high, and the cost is low.
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FIG. 1 is a schematic overall flow chart of the technical solution of the present invention;
fig. 2 is a schematic diagram of a screening process of a black school bus in the embodiment.
Detailed Description
As shown in fig. 1-2, the present invention is a method for identifying illegal vehicles at a fixed point, and a technical solution of the present invention is described by taking a "black school bus" as an example; the "black school bus" refers to a vehicle which does not acquire a relevant qualification certificate, is not registered in a traffic police department or is registered as a self-service vehicle, does not run a mandatory liability risk, does not belong to a school party but operates illegally to send students. The black school bus is mostly in suburbs, rural areas and other places with insufficient public investment, and school parties are reluctant to buy bills for school bus cost. The black school bus aims at profitability, and overload is often caused, which poses a significant threat to the safety of students.
S1: determining longitude and latitude information of a target place; the longitude and latitude information of the target school can be obtained through the geographic information system and the name of the target school, and the target school and the peripheral 10 kilometers of the target school are determined as target places according to the running track of the black school bus in actual work.
S2: determining a screening time period for monitoring a target site in one day; the monitoring time period of each day is set as a school time period and a school time period, and the school time period is defined as 6: 15-7: 45, the school time period is defined as 16:00-18: 00.
S3: determining the vehicle characteristic information of a target vehicle to be screened to obtain the target vehicle characteristic; target vehicle characteristics including vehicle type, body color, vehicle brand; the target vehicles for monitoring are set as small minibus and seven or more passenger cars, and the characteristics of the target vehicles can be obtained through the information base of the vehicle management mechanism.
S4: determining a total monitoring time for monitoring a target location; the total monitoring time comprises a continuous time period, a discontinuous time period, a time period before the implementation of the identification work is started and a time period after the implementation of the identification work is started, and can be set according to the characteristics of the illegal behaviors required to be screened, so that the technical scheme has higher universality; the total monitoring time in this embodiment is set to 4 consecutive weeks of the working day.
S5: determining discrimination information of the target vehicle, wherein the discrimination information indicates that the behavior characteristics of the target vehicle are determined to be illegal suspicion;
screening information including the number of continuous occurrences at the target site, and the inconsistency between the behavior of the vehicle and the registered contents thereof in the information base of the vehicle management agency and the information base of the law enforcement agency;
the discrimination information for the black school bus is set as follows:
definition N is: the number of days that a target vehicle appears in the monitoring of the checkpoint monitoring equipment within 2 kilometers of the school;
definition n is: the number of days that the target vehicle appears in the checkpoint monitoring equipment within 10 kilometers of the target vehicle within 2 kilometers of the school;
definition P is: the proportion of the days of a target vehicle appearing in the checkpoint monitoring equipment within 10 kilometers from the school to the days of a working day;
then the process of the first step is carried out,
1) respectively confirming the value of N in each week in the total monitoring time, and when all N > =3, determining that the target vehicle is suspect and is a suspect vehicle;
2) in the total monitoring time, when N > =2 every week and N =2 exists, confirming the value of N in the weeks of N =2, and when all N > =2, the target vehicle is suspect and is a suspect vehicle;
3) in the total monitoring time, when N > =2 every week and N =2 exists, confirming the value of N in the weeks of N =2, if N <2 exists, confirming the value of P in the total monitoring time period, and if P >2/3, the target vehicle is suspect and is a suspect vehicle;
4) and confirming the value of N in each week in the total monitoring time, confirming the value of P in the total monitoring time when N is less than 2, and confirming that the target vehicle is suspect and is a suspect vehicle when P is greater than 3/4.
S6: determining target gate monitoring equipment for investigating data by performing spatial position superposition analysis on information point data in the geographic information system and gate monitoring equipment on a road according to the longitude and latitude information of the target point determined in the step S1;
the checkpoint monitoring equipment is road vehicle intelligent monitoring and recording equipment which is arranged along a road and can record relevant information of each motor vehicle passing through the region, wherein the relevant information comprises the number plate type, the number plate number and the passing time information;
the information point data refers to recorded data used for information acquisition in a geographic information system, and the information contained in each information point data comprises a name, a category, longitude and latitude and information of nearby hotels, restaurants and shops;
performing spatial position superposition analysis, namely performing spatial position superposition calculation on the position information of the monitoring equipment of the gate and the information point data in a geographic information system and then analyzing to obtain the monitoring equipment of the gate in a specified range;
and determining a target location as a target school and within 10 kilometers of the periphery of the target school, and determining target checkpoint monitoring equipment for investigating data by performing spatial position superposition analysis on information point data in a geographic information system and checkpoint monitoring equipment on a road.
S7: collision comparison is carried out on all target gate monitoring equipment and data of vehicle passing track information recorded by road gate monitoring equipment, and a passing track record set recorded by all the target gate monitoring equipment is generated;
the traffic track record set records the collection of the number plate types, the number plate numbers, the traffic time, the passing gates, the passing roads and the passing areas;
and performing collision comparison on all the target gate monitoring devices and the data of the vehicle passing track information recorded by the road gate monitoring devices to generate a passing track record set recorded by all the target gate monitoring devices within 10 kilometers of the periphery of the target school, wherein the obtained data comprises the data of all the vehicles.
S8: comparing the traffic track record set recorded by the target gate monitoring equipment with the target vehicle characteristics determined in the step S3, screening out information related to non-target vehicles, and generating a vehicle traffic record set;
after the target vehicle characteristics conforming to all the minibuses and more than seven passenger cars are obtained in the step 3, the obtained pictures are shot through the bayonet monitoring equipment, the characteristic information of the vehicles, such as license plate numbers, vehicle types, vehicle body colors, vehicle brands and the like, is obtained, and the target vehicles can be screened out accurately and quickly by comparing the image analysis technology with the vehicle characteristics of the target vehicles; screening out the related traffic tracks of all small minibuses and more than seven passenger cars from the traffic track record set according to the characteristics of the target vehicle to form a vehicle traffic record set of the target vehicle as basic data of subsequent analysis;
because the model of the target vehicle which can be used as a black school bus is obvious, most of data of non-target vehicles can be screened out through vehicle characteristics, and the data volume in the data set is rapidly reduced.
S9: comparing the screening time periods determined in the step S2 with the vehicle passing record set, and screening out data of all non-screening time periods to obtain a target vehicle passing set; and (4) screening data according to time periods to screen out a sequence of' 6: 15-7: all target vehicle traffic sets within 45 "and" 16:00-18:00 "time periods.
S10: counting all the target vehicle passing sets within the total monitoring time according to the total monitoring time determined in the step 4 to generate a target vehicle passing set; and further performing data screening through the time periods, and screening out the data of 6: 15-7: the data in the time periods of 45 'and 16:00-18: 00' constitute the total set of target vehicle passages.
S11: according to the screening information determined in the step 5, comparing the screening information with the data of the target vehicle traffic aggregate, and screening out the data of the non-target vehicles until the information of the suspect vehicle with the illegal behaviors is obtained, wherein the vehicles included in the information of the suspect vehicle are used as target vehicles for subsequent law enforcement work until the illegal vehicles are obtained;
in the screening process of the black school bus shown in fig. 2, the data of the target vehicle traffic aggregate is used as a basis, and the data is analyzed according to the condition of 4 defined in the screening information;
when all the values of N within 4 weeks are N > =3, the target vehicle may be determined as a suspect vehicle;
when all the values of N in 4 weeks are consistent with N > =2, but N =2 exists, the value of N in the weeks of N =2 needs to be confirmed, when all the values of N > =2, the target vehicle is suspect and is a suspect vehicle, but when N <2 exists, the value of P in 4 weeks is confirmed, and when P >2/3, the target vehicle is suspect and is a suspect vehicle;
when N <2 exists in 4 weeks, confirming the value of P in 4 weeks, and when P is greater than 3/4, determining that the target vehicle is suspect and is a suspect vehicle;
as described above, information of non-target vehicles is sequentially screened out, and finally, information of specific suspect vehicles can be obtained, and all suspect vehicles are used as work targets of subsequent law enforcement work to confirm that illegal vehicles are obtained.
S12: the suspected vehicle is further discriminated, the passing track picture is shot through the appointed bayonet monitoring equipment, image feature recognition is carried out on the passing track picture to confirm vehicle illegal behaviors, subsequent illegal behaviors which can be confirmed through the picture recognition technology are defined according to different illegal behaviors, the workload of manual discrimination is further saved through equipment, and the accuracy of discrimination work is improved;
in the embodiment, after information of a suspected vehicle is obtained, image recognition is performed through a traffic track picture shot by a bayonet monitoring device, the number of people in a front passenger seat is confirmed, and if the number of people in the passenger seat exceeds 2, the suspected vehicle can be directly determined to have illegal behaviors; and the suspected vehicle can be manually checked by law enforcement personnel to determine whether the suspected vehicle is an illegal vehicle.
After the technical scheme is used, the data are obtained through the conventional bayonet monitoring equipment, and the suspect vehicle is locked after the data are analyzed, so that the workload of law enforcement personnel for deploying and controlling and discriminating the suspect vehicle is reduced, and the manpower and material resources are saved; the objective data are analyzed, so that errors are not easy to occur; and the suspect vehicle can not be frightened, and the subsequent law enforcement work can not be hindered.
Claims (5)
1. A method for targeted screening of illegal vehicles, comprising the steps of:
s1: determining longitude and latitude information of a target place;
s2: determining a screening time period for monitoring a target site in one day;
s3: determining the vehicle characteristic information of a target vehicle to be screened to obtain the target vehicle characteristic;
s4: determining a total monitoring time for monitoring a target location;
s5: determining discrimination information of the target vehicle, wherein the discrimination information refers to which behavior characteristics of the target vehicle are determined to be illegal suspicion;
it is characterized by also comprising the following steps:
s6: determining target gate monitoring equipment for surveying data by performing spatial position superposition analysis on information point data in a geographic information system and gate monitoring equipment on a road according to the longitude and latitude information of the target location determined in the step S1;
the gate monitoring equipment is road vehicle intelligent monitoring recording equipment arranged along a road, and can record relevant information of each motor vehicle passing through the region, including number plate type, number plate number and passing time information;
the information point data refers to recorded data used for information acquisition in a geographic information system, and the information contained in each information point data comprises a name, a category, longitude and latitude, and information of nearby hotels, restaurants and shops;
the spatial position superposition analysis means that the spatial position superposition calculation is carried out on the position information of the checkpoint monitoring equipment and the information point data in a geographic information system to obtain the checkpoint monitoring equipment in a specified range;
s7: performing collision comparison on all the target gate monitoring devices and the data of the vehicle passing track information recorded by the road gate monitoring devices to generate a passing track record set recorded by all the target gate monitoring devices;
the traffic track record set records the collection of the number plate types, the number plate numbers, the traffic time, the passing gates, the passing roads and the passing areas;
s8: comparing the traffic track record set recorded by the target gate monitoring equipment with the target vehicle characteristics determined in the step S3, screening out information related to non-target vehicles, and generating a vehicle traffic record set;
s9: screening out data of all non-screening time periods by comparing the screening time periods determined in the step S2 with the vehicle passing record set to obtain a target vehicle passing set;
s10: counting all the target vehicle passing sets within the total monitoring time according to the total monitoring time determined in the step S4 to generate a target vehicle passing set;
s11: and comparing the data of the target vehicle passing aggregate according to the screening information determined in the step S5, and screening out data of non-target vehicles until information of a suspected vehicle with illegal behaviors is obtained, wherein the vehicle included in the information of the suspected vehicle is used as a target vehicle for subsequent law enforcement work until the illegal vehicle is confirmed to be obtained.
2. The method for screening illegal vehicles at fixed points according to claim 1, characterized in that: it further comprises step S12: and performing further screening work on the suspected vehicle, namely shooting a passing track picture by appointing the checkpoint monitoring equipment, and performing image characteristic identification on the passing track picture to confirm vehicle illegal behaviors.
3. The method for screening illegal vehicles at fixed points according to claim 1, characterized in that: the total monitoring time includes a continuous time period, a discontinuous time period, a time period before the authentication work execution starts, and a time period after the authentication work execution starts.
4. The method for screening illegal vehicles at fixed points according to claim 1, characterized in that: the target vehicle characteristics include vehicle type, body color, vehicle brand.
5. The method for screening illegal vehicles at fixed points according to claim 1, characterized in that: the screening information comprises the number of continuous occurrences at the target site, and the inconsistency of the behavior of the vehicle with the registered contents of the information base in the vehicle management agency and the information base in the law enforcement agency.
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| CN112289026B (en) * | 2020-10-26 | 2022-01-04 | 山东旗帜信息有限公司 | Vehicle route restoration method, equipment and medium |
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| CN115100856B (en) * | 2022-06-20 | 2023-05-26 | 公安部交通管理科学研究所 | Method for analyzing vehicle flow direction from multiple departure places to multiple destinations |
| CN115063977B (en) * | 2022-06-20 | 2023-05-26 | 公安部交通管理科学研究所 | Method for analyzing vehicle flow direction from single departure place to multiple destinations |
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