CN108986478A - A method of fixed point screens illegal vehicle - Google Patents

A method of fixed point screens illegal vehicle Download PDF

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Publication number
CN108986478A
CN108986478A CN201811081367.5A CN201811081367A CN108986478A CN 108986478 A CN108986478 A CN 108986478A CN 201811081367 A CN201811081367 A CN 201811081367A CN 108986478 A CN108986478 A CN 108986478A
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vehicle
information
target
period
monitoring
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CN201811081367.5A
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CN108986478B (en
Inventor
孔晨晨
孙正良
蔡岗
黄淑兵
张森
缪新顿
李小武
吴晓峰
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Traffic Management Research Institute of Ministry of Public Security
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Traffic Management Research Institute of Ministry of Public Security
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    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/017Detecting movement of traffic to be counted or controlled identifying vehicles
    • G08G1/0175Detecting movement of traffic to be counted or controlled identifying vehicles by photographing vehicles, e.g. when violating traffic rules

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Traffic Control Systems (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The present invention provides a kind of method that fixed point screens illegal vehicle, it can use the suspected vehicles that existing equipment automatic identification near target location commits unlawful acts, it is at low cost, time-consuming short and can be not detectable implementation, it is ensured that the normal implementation of subsequent law-enforcing work.It includes S1: determining target location latitude and longitude information;S2: the examination period that implementing monitoring is needed in one day is determined;S3: the characteristic information of target vehicle is determined;S4: the total monitoring period for being directed to target location implementing monitoring is determined;S5: the examination information of target vehicle is determined;S6: the target bayonet monitoring device of survey data is determined;S7: the passage track set of records ends recorded by all target bayonet monitoring devices is generated;S8: sifting out the relevant information of non-targeted vehicle, generates vehicle pass-through set of records ends;S9: it obtains and screens target vehicle row set in the period;S10: the current total collection of target vehicle in total monitoring period is generated;S11: the information of the suspected vehicles committed unlawful acts is obtained.

Description

A method of fixed point screens illegal vehicle
Technical field
The present invention relates to technical field of control over intelligent traffic, specially a kind of method that fixed point screens illegal vehicle.
Background technique
In modern traffic control, it usually needs identification illegal vehicle;Some illegal vehicles have its fix place of haunting, The fixed time occurred;Such as " black school bus ", usually small mini van or seven or more passenger car can be upper It learns, in the period that classes are over, school area is haunted in timing;Such as the illegal vehicle for toppling over building waste, it is weight mostly Truck is carried, can periodically appear in the rare section of human footmarks in or so morning;It is existing for such vehicle for having illegal suspicion Monitoring, examination mode organize manpower to deploy to ensure effective monitoring and control of illegal activities to be screened mainly by traffic management department of public security organ;Manual type identification is depended merely on, It is not only at high cost, spend the time long, but also once deployed to ensure effective monitoring and control of illegal activities personnel by suspicion person's discovery, it will cause to screen work, subsequent law enforcement The failure of work.
Summary of the invention
In order to solve manually to monitor the vehicle for having illegal suspicion, screen, at high cost, time-consuming length is easy error Problem, the present invention provide it is a kind of fixed point screen illegal vehicle method, can use existing equipment near target location from It is dynamic to identify the suspected vehicles that commit unlawful acts, it is at low cost, time-consuming short and can be not detectable implementation, it is ensured that subsequent law enforcement work The normal implementation made.
The technical scheme is that such: a method of fixed point screens illegal vehicle comprising following steps:
S1: the latitude and longitude information of target location is determined;
S2: it determines for the examination period for needing implementing monitoring in target location one day;
S3: it determines the vehicle of target vehicle itself characteristic information for needing to screen, obtains target vehicle feature;
S4: the total monitoring period for being directed to target location implementing monitoring is determined;
S5: determine that the examination information of target vehicle, the examination information refer to that target vehicle occurs which kind of behavioural characteristic can be recognized Being set to has illegal suspicion;
It is characterized in that, its is further comprising the steps of:
S6: according to the latitude and longitude information of the target location determined in step S1, by the information in GIS-Geographic Information System Bayonet monitoring device in point data and road carries out spatial position overlay analysis, determines the target bayonet monitoring of survey data Equipment;
The bayonet monitoring device refers in the road vehicle intelligent monitoring and recording equipment that roadside is laid, is able to record region The relevant information of each motor vehicle of interior process, including number plate type, brand number, elapsed time information;
The information point data refers to the record data that information collection is used in GIS-Geographic Information System, each information point data The information for including includes title, classification, latitude, longitude, neighbouring retail shop of restaurant of hotel information;
The spatial position overlay analysis refers to and believes the bayonet monitoring device location information and the information point data in geography Spatial position superposition calculation is carried out in breath system, obtains the bayonet monitoring device in specified range;
S7: by the vehicle pass-through trace information of all target bayonet monitoring device and road gate monitoring device records Data carry out collision comparison, generate by the passage track set of records ends of all target bayonet monitoring device records;
The current track set of records ends, record content include number plate type, brand number, transit time, pass through bayonet, passage Road, traffic areas set;
S8: by the target bayonet monitoring device record the current track set of records ends in step s3 determine described in Target vehicle feature is compared, and sifts out the relevant information of non-targeted vehicle, generates vehicle pass-through set of records ends;
S9: it is compared, is screened out with the vehicle pass-through set of records ends by the examination period determined in step s 2 All non-data for screening the period, obtain target vehicle row set;
S10: according to the total monitoring period determined in step s 4, the mesh all in total monitoring period is counted Vehicle pass-through set is marked, the current total collection of target vehicle is generated;
S11: according to the examination information determined in step s 5, compared in the current data always collected of the target vehicle It is right, the data of non-targeted vehicle are screened out, until obtaining the information of the suspected vehicles committed unlawful acts, the information of the suspected vehicles Including target vehicle of the vehicle as subsequent law-enforcing work, until confirmation obtains illegal vehicle.
It is further characterized by:
It further includes step S12: implementing further examination work to the suspected vehicles, including by specifying the bayonet to supervise It controls equipment and shoots current track picture, and characteristics of image recognition and verification vehicle illegal behavior is done to the current track picture;
Total monitoring period, the time before implementing to start including continuous period, discrete period, identification work Section, identification work implement the period after starting;
The target vehicle feature includes type of vehicle, body color, vehicle brand;
The examination information, including the number continuously occurred in target location, the number of days, the vehicle row that continuously occur in target location It is inconsistent with its registration content in Che Guan mechanism in information bank and the information bank of law enforcement agency.
The method that a kind of fixed point provided by the invention screens illegal vehicle, is utilized existing bayonet monitoring device instead of people Work observation, from hardware for without adding new equipment, scheme implementation cost is lower, and monitors and implement that suspicion vehicle will not be startled , and save human resources;Using the latitude and longitude information of target location, is determined and monitored by spatial position overlay analysis technology With bayonet monitoring device, it is ensured that the road near target ground is all covered in monitoring range, ensure that the no loophole of monitoring; When doing data set screening, the passage track record that is recorded first with target vehicle feature from all target bayonet monitoring devices In set, vehicle pass-through set of records ends is filtered out, quickly reduces the data volume of data set, keeps subsequent arithmetic quicker; By the examination information sifting suspected vehicles that can quantify to compare, error rate is lower compared with artificial implement, and speed is faster, passes through Technical solution of the present invention, without manually deploying to ensure effective monitoring and control of illegal activities, and automatic implementation monitors, as long as suspicion vehicle can be automatically confirmed that by meeting feature , without being manually specified, speed is fast, and at low cost.
Detailed description of the invention
Fig. 1 is the overall flow schematic diagram of technical solution of the present invention;
Fig. 2 is the examination flow diagram of black school bus in embodiment.
Specific embodiment
As shown in Fig. 1 ~ Fig. 2, the present invention is a kind of method that fixed point screens illegal vehicle, by taking " black school bus " as an example, to this The technical solution of invention is illustrated;" black school bus " refer to do not obtain related qualification certificate, do not arrive traffic police department registration or Be registered as personal vehicle, do not throw admitted liability danger, be not belonging to school side originally but the vehicle of student is picked in illegal operation.It is " black School bus " appears in the place of the insufficient public investments such as suburb and rural area mostly, and school side is reluctant to check for school bus expense.Black school bus It is and overloading often to occur for the purpose of getting a profit, great threat is constituted to the safety of student.
S1: the latitude and longitude information of target location is determined;It is available by the title of GIS-Geographic Information System and target school The latitude and longitude information of target school determines target school and target school according to the running track of school bus black in real work Target location is all used as within 10 kilometers of periphery.
S2: it determines for the examination period for needing implementing monitoring in target location one day;Daily monitoring period setting For time for school section and classes are over period, time for school section is defined as 6:15-7:45 in morning, and classes are over, and the period is defined as 16:00- 18:00。
S3: it determines the vehicle of target vehicle itself characteristic information for needing to screen, obtains target vehicle feature;Target vehicle Feature includes type of vehicle, body color, vehicle brand;The target vehicle of implementing monitoring is set as small mini van and seven Or more passenger car, target vehicle feature can be obtained by the information bank of Che Guan mechanism.
S4: the total monitoring period for being directed to target location implementing monitoring is determined;Total monitoring period, including the continuous period, Discrete period identifies period before work is implemented to start, identifies work and implement period after starting, can be with Total monitoring period is arranged in the characteristics of illegal activities screened as needed, is that the technical program has more versatility;In the present embodiment Total monitoring period be set as continuous 4 weeks working days.
S5: determining the examination information of target vehicle, screens information and refers to that target vehicle occurs which kind of behavioural characteristic can be recognized Being set to has illegal suspicion;
Screen information, including the number continuously occurred in target location, the number of days continuously occurred in target location, vehicle behavior with Its registration content in Che Guan mechanism in information bank and the information bank of law enforcement agency is inconsistent;
It is provided that for the examination information of black school bus
Define N are as follows: the number of days that target vehicle occurs in the monitoring of the bayonet monitoring device within 2 kilometers of school;
Define n are as follows: target vehicle number of days occurs in the bayonet monitoring device within 10 kilometers other than 2 kilometers of school;
Define P are as follows: target vehicle accounts for working day number of days at 10 kilometers apart from school with the number of days that inner bayonet monitoring device occurs Ratio;
Then,
1) in total monitoring period, confirm the value of N weekly respectively, when all N >=3 when, target vehicle has illegal suspicion, It is suspected vehicles;
2) in total monitoring period, when N weekly >=2, and there are N=2, confirm the value of n in that several week of N=2, when all n >= 2, then target vehicle has illegal suspicion, is suspected vehicles;
3) in total monitoring period, when N weekly>=2, and there are N=2, confirm the value of n in that several week of N=2, there are n<2, then really The value for recognizing the P in total storage and monitoring time segment works as P > 2/3, then target vehicle has illegal suspicion, is suspected vehicles;
4) in total monitoring period, the value of N weekly is confirmed respectively, when there are N < 2, confirms the P in total monitoring period Value, it is suspected vehicles that when working as P > 3/4, then target vehicle, which has illegal suspicion,.
S6: according to the latitude and longitude information of the target location determined in step S1, by the information in GIS-Geographic Information System Bayonet monitoring device in point data and road carries out spatial position overlay analysis, determines the target bayonet monitoring of survey data Equipment;
Bayonet monitoring device refers in the road vehicle intelligent monitoring and recording equipment that roadside is laid, is able to record in region and passes through The relevant information for each motor vehicle crossed, including number plate type, brand number, elapsed time information;
Information point data refers to the record data that information collection is used in GIS-Geographic Information System, the letter that each information point data include Breath includes title, classification, latitude, longitude, neighbouring retail shop of restaurant of hotel information;
Spatial position overlay analysis refers to and carries out bayonet monitoring device location information in GIS-Geographic Information System with information point data Spatial position superposition calculation post analysis obtains the bayonet monitoring device in specified range;
Determine that target location is within 10 kilometers of target school and target school periphery, by GIS-Geographic Information System Bayonet monitoring device in information point data and road carries out spatial position overlay analysis, determines the target bayonet of survey data Monitoring device.
S7: by the vehicle pass-through trace information of all target bayonet monitoring device and road gate monitoring device records Data carry out collision comparison, generate the passage track set of records ends recorded by all target bayonet monitoring devices;
Current track set of records ends, record content include number plate type, brand number, transit time, pass through bayonet, walkway The set on road, traffic areas;
By all target bayonet monitoring device and the data of the vehicle pass-through trace information of road gate monitoring device record into Row collision compares, and generates the passage track record set of all target bayonet monitoring device records within 10 kilometers of target school periphery It closes, the data obtained at this time are the data comprising all vehicles.
S8: by the passage track set of records ends of target bayonet monitoring device record and target vehicle determining in step s3 Feature is compared, and sifts out the relevant information of non-targeted vehicle, generates vehicle pass-through set of records ends;
After obtaining all target vehicle features for meeting small mini van and seven or more passenger car in step 3, pass through The picture that the shooting of bayonet monitoring device obtains, obtains the features such as license plate number, type of vehicle, body color, the vehicle brand of vehicle Information is compared with the vehicle characteristics of target vehicle by image analysis technology, can quickly and accurately filter out target carriage ?;According to the feature of target vehicle, all small mini vans and seven are filtered out from current track set of records ends to upload The relevant current track of objective automobile, constitutes the vehicle pass-through set of records ends of target vehicle, the basic data as subsequent analysis;
Because the vehicle that can be used as the target vehicle of black school bus is more apparent, major part can be screened out by vehicle characteristics Non-targeted vehicle data, quickly reduce the data volume in data acquisition system.
S9: it is compared, is screened out all with vehicle pass-through set of records ends by the examination period determining in step s 2 The non-data for screening the period, obtain target vehicle row set;Data screening is carried out by the period, filter out " 6:15-7: 45 " and all target vehicle row sets of " 16:00-18:00 " in the period.
S10: according to the total monitoring period determined in step 4, the target vehicle for counting all in total monitoring period is logical Row set generates the current total collection of target vehicle;Data screening is further carried out by the period, from target vehicle row set In, data of " 6:15-7:45 " and " 16:00-18:00 " in continuous 4 weeks working days in the period are filtered out, mesh is constituted Mark vehicle pass-through always collects.
S11: it according to examination information determining in steps of 5, compares, screens out non-in the current data always collected of target vehicle The data of target vehicle, until obtaining the information of the suspected vehicles committed unlawful acts, the vehicle that the information of suspected vehicles includes is made For the target vehicle of subsequent law-enforcing work, illegal vehicle is obtained until confirming;
The examination process of black school bus as shown in Figure 2, based on the current data always collected of target vehicle, data according to Zhen Situation is analyzed in 4 defined in other information;
When the value of N all in 4 weeks all meet N >=3 in the case where, target vehicle may determine that as suspected vehicles;
When the value of N all in 4 weeks all meet N >=2, but the case where there are N=2, need to confirm n in that several week of N=2 Value, when all n>=2, then it is suspected vehicles that target vehicle, which has illegal suspicion, but when there are n<2 the case where, is then confirmed The value of P within 4 weeks works as P > 2/3, then target vehicle has illegal suspicion, is suspected vehicles;
When, there are when N<2, confirming the value of the P in 4 weeks in 4 weeks, when working as P>3/4, then target vehicle has illegal suspicion, It is suspected vehicles;
As it appears from the above, successively sifting out the information of non-targeted vehicle, the information of specific suspected vehicles may finally be obtained, with all Target of the suspected vehicles as subsequent law-enforcing work, confirmation obtains illegal vehicle.
S12: further examination work is implemented to suspected vehicles, including passes through specified bayonet monitoring device and shoots travelling rail Mark picture, and characteristics of image recognition and verification vehicle illegal behavior is done to current track picture, it is defined according to different illegal activities The subsequent illegal activities that can be confirmed by picture recognition technology are further manually identified by equipment saving Workload improves the accuracy for identifying work;
In the present embodiment, after the information for obtaining suspected vehicles, the passage track picture shot by bayonet monitoring device is carried out Image recognition, the personnel's number for confirming that front-seat copilot is used as can be straight if personnel's number in passenger seat is more than 2 people It connects and determines that the suspected vehicles commit unlawful acts;Suspected vehicles can also be arranged law enfrocement official manually to be checked, are confirmed whether For illegal vehicle.
After technical solution of the present invention, data are obtained by existing bayonet monitoring device, data are analyzed After lock suspected vehicles, reduce law enfrocement official and deploy to ensure effective monitoring and control of illegal activities, screen the workloads of suspected vehicles, save human and material resources;Pass through Objective data is analyzed, not easy to make mistakes;And suspected vehicles will not be startled, obstacle will not be caused to subsequent law-enforcing work.

Claims (5)

1. a kind of method that fixed point screens illegal vehicle comprising following steps:
S1: the latitude and longitude information of target location is determined;
S2: it determines for the examination period for needing implementing monitoring in target location one day;
S3: it determines the vehicle of target vehicle itself characteristic information for needing to screen, obtains target vehicle feature;
S4: the total monitoring period for being directed to target location implementing monitoring is determined;
S5: determine that the examination information of target vehicle, the examination information refer to that target vehicle occurs which kind of behavioural characteristic can be recognized Being set to has illegal suspicion;
It is characterized in that, its is further comprising the steps of:
S6: according to the latitude and longitude information of the target location determined in step S1, by the information in GIS-Geographic Information System Bayonet monitoring device in point data and road carries out spatial position overlay analysis, determines the target bayonet monitoring of survey data Equipment;
The bayonet monitoring device refers in the road vehicle intelligent monitoring and recording equipment that roadside is laid, is able to record region The relevant information of each motor vehicle of interior process, including number plate type, brand number, elapsed time information;
The information point data refers to the record data that information collection is used in GIS-Geographic Information System, each information point data The information for including includes title, classification, latitude, longitude, neighbouring retail shop of restaurant of hotel information;
The spatial position overlay analysis refers to and believes the bayonet monitoring device location information and the information point data in geography Spatial position superposition calculation is carried out in breath system, obtains the bayonet monitoring device in specified range;
S7: by the vehicle pass-through trace information of all target bayonet monitoring device and road gate monitoring device records Data carry out collision comparison, generate by the passage track set of records ends of all target bayonet monitoring device records;
The current track set of records ends, record content include number plate type, brand number, transit time, pass through bayonet, passage Road, traffic areas set;
S8: by the target bayonet monitoring device record the current track set of records ends in step s3 determine described in Target vehicle feature is compared, and sifts out the relevant information of non-targeted vehicle, generates vehicle pass-through set of records ends;
S9: it is compared, is screened out with the vehicle pass-through set of records ends by the examination period determined in step s 2 All non-data for screening the period, obtain target vehicle row set;
S10: according to the total monitoring period determined in step s 4, the mesh all in total monitoring period is counted Vehicle pass-through set is marked, the current total collection of target vehicle is generated;
S11: according to the examination information determined in step s 5, compared in the current data always collected of the target vehicle It is right, the data of non-targeted vehicle are screened out, until obtaining the information of the suspected vehicles committed unlawful acts, the information of the suspected vehicles Including target vehicle of the vehicle as subsequent law-enforcing work, until confirmation obtains illegal vehicle.
2. a kind of method that fixed point screens illegal vehicle according to claim 1, it is characterised in that: it further includes step S12: Further examination work is implemented to the suspected vehicles, including by specifying the bayonet monitoring device to shoot current trajectory diagram Piece, and characteristics of image recognition and verification vehicle illegal behavior is done to the current track picture.
3. a kind of method that fixed point screens illegal vehicle according to claim 1, it is characterised in that: total monitoring period packet Continuous period, discrete period are included, identifies period before work is implemented to start, identify work and implement beginning Period afterwards.
4. a kind of method that fixed point screens illegal vehicle according to claim 1, it is characterised in that: the target vehicle feature Include type of vehicle, body color, vehicle brand.
5. a kind of method that fixed point screens illegal vehicle according to claim 1, it is characterised in that: the examination information includes The number that target location continuously occurs, the number of days target location continuously occurs, vehicle behavior and its believe in Che Guan mechanism The registration content ceased in the information bank of library and law enforcement agency is inconsistent.
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Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110942640A (en) * 2019-12-04 2020-03-31 无锡华通智能交通技术开发有限公司 Method for actively discovering suspect vehicle illegally engaged in network car booking passenger transportation
CN111619622A (en) * 2020-06-08 2020-09-04 中电科信息产业有限公司 Target vehicle determination method and device
CN112289026A (en) * 2020-10-26 2021-01-29 山东旗帜信息有限公司 Vehicle route restoration method, equipment and medium
CN113178078A (en) * 2021-04-02 2021-07-27 青岛以萨数据技术有限公司 Vehicle illegal manned detection method, system, terminal and medium
CN115063977A (en) * 2022-06-20 2022-09-16 公安部交通管理科学研究所 Vehicle flow direction analysis method from single departure place to multiple destinations
CN115100856A (en) * 2022-06-20 2022-09-23 公安部交通管理科学研究所 Vehicle flow direction analysis method from multiple departure places to multiple destinations

Citations (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104408920A (en) * 2014-11-25 2015-03-11 公安部交通管理科学研究所 Checkpoint traffic information-based method for judging traffic violation of long-distance passenger vehicles
CN105336164A (en) * 2015-10-27 2016-02-17 杭州电子科技大学 Error checkpoint positional information automatic identification method based on big data analysis
CN105741598A (en) * 2014-12-09 2016-07-06 深圳中兴力维技术有限公司 Suspect vehicle foothold analysis and processing method and device thereof
CN105931467A (en) * 2016-06-06 2016-09-07 广东中星电子有限公司 Target tracking method and device
CN105976617A (en) * 2016-03-21 2016-09-28 江苏智通交通科技有限公司 Illegal service vehicle detecting method and system
CN106448150A (en) * 2016-06-27 2017-02-22 江苏智通交通科技有限公司 Whole-process key vehicle supervision system and method
KR101719549B1 (en) * 2016-01-07 2017-03-24 (주)아이엠시티 Image preprocessing method for license plate recognition and license plate recognition device using thereof
CN106571040A (en) * 2016-10-31 2017-04-19 浙江宇视科技有限公司 Suspicious vehicle confirmation method and equipment
CN106652462A (en) * 2016-09-30 2017-05-10 广西大学 Illegal parking management system based on Internet
CN107204114A (en) * 2016-03-18 2017-09-26 中兴通讯股份有限公司 A kind of recognition methods of vehicle abnormality behavior and device
CN107705238A (en) * 2017-07-26 2018-02-16 安徽四创电子股份有限公司 The transport supervisory systems and its monitoring and managing method compared based on position and bayonet socket track
CN107886731A (en) * 2017-11-03 2018-04-06 武汉元鼎创天信息科技有限公司 A kind of illegal operation Vehicular intelligent detection method
CN108074400A (en) * 2016-11-14 2018-05-25 北京航天长峰科技工业集团有限公司 A kind of emphasis vehicle analysis model based on mass data analysis
CN108320503A (en) * 2018-01-19 2018-07-24 江苏本能科技有限公司 Vehicle traveling querying method and system based on point identification
CN108335482A (en) * 2017-01-20 2018-07-27 亚信蓝涛(江苏)数据科技有限公司 A kind of urban transportation Situation Awareness method and method for visualizing

Patent Citations (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104408920A (en) * 2014-11-25 2015-03-11 公安部交通管理科学研究所 Checkpoint traffic information-based method for judging traffic violation of long-distance passenger vehicles
CN105741598A (en) * 2014-12-09 2016-07-06 深圳中兴力维技术有限公司 Suspect vehicle foothold analysis and processing method and device thereof
CN105336164A (en) * 2015-10-27 2016-02-17 杭州电子科技大学 Error checkpoint positional information automatic identification method based on big data analysis
KR101719549B1 (en) * 2016-01-07 2017-03-24 (주)아이엠시티 Image preprocessing method for license plate recognition and license plate recognition device using thereof
CN107204114A (en) * 2016-03-18 2017-09-26 中兴通讯股份有限公司 A kind of recognition methods of vehicle abnormality behavior and device
CN105976617A (en) * 2016-03-21 2016-09-28 江苏智通交通科技有限公司 Illegal service vehicle detecting method and system
CN105931467A (en) * 2016-06-06 2016-09-07 广东中星电子有限公司 Target tracking method and device
CN106448150A (en) * 2016-06-27 2017-02-22 江苏智通交通科技有限公司 Whole-process key vehicle supervision system and method
CN106652462A (en) * 2016-09-30 2017-05-10 广西大学 Illegal parking management system based on Internet
CN106571040A (en) * 2016-10-31 2017-04-19 浙江宇视科技有限公司 Suspicious vehicle confirmation method and equipment
CN108074400A (en) * 2016-11-14 2018-05-25 北京航天长峰科技工业集团有限公司 A kind of emphasis vehicle analysis model based on mass data analysis
CN108335482A (en) * 2017-01-20 2018-07-27 亚信蓝涛(江苏)数据科技有限公司 A kind of urban transportation Situation Awareness method and method for visualizing
CN107705238A (en) * 2017-07-26 2018-02-16 安徽四创电子股份有限公司 The transport supervisory systems and its monitoring and managing method compared based on position and bayonet socket track
CN107886731A (en) * 2017-11-03 2018-04-06 武汉元鼎创天信息科技有限公司 A kind of illegal operation Vehicular intelligent detection method
CN108320503A (en) * 2018-01-19 2018-07-24 江苏本能科技有限公司 Vehicle traveling querying method and system based on point identification

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
邵祖峰: "涉牌涉证交通安全违法行为治理对策研究", 《吉林公安高等专科学校学报》 *

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110942640A (en) * 2019-12-04 2020-03-31 无锡华通智能交通技术开发有限公司 Method for actively discovering suspect vehicle illegally engaged in network car booking passenger transportation
CN111619622A (en) * 2020-06-08 2020-09-04 中电科信息产业有限公司 Target vehicle determination method and device
CN112289026A (en) * 2020-10-26 2021-01-29 山东旗帜信息有限公司 Vehicle route restoration method, equipment and medium
CN113178078A (en) * 2021-04-02 2021-07-27 青岛以萨数据技术有限公司 Vehicle illegal manned detection method, system, terminal and medium
CN115063977A (en) * 2022-06-20 2022-09-16 公安部交通管理科学研究所 Vehicle flow direction analysis method from single departure place to multiple destinations
CN115100856A (en) * 2022-06-20 2022-09-23 公安部交通管理科学研究所 Vehicle flow direction analysis method from multiple departure places to multiple destinations
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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