CN108182804B - Highway vehicle monitoring management system based on letter is questioned two basic to be modelled - Google Patents
Highway vehicle monitoring management system based on letter is questioned two basic to be modelled Download PDFInfo
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- CN108182804B CN108182804B CN201810027750.6A CN201810027750A CN108182804B CN 108182804 B CN108182804 B CN 108182804B CN 201810027750 A CN201810027750 A CN 201810027750A CN 108182804 B CN108182804 B CN 108182804B
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
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- G08G1/017—Detecting movement of traffic to be counted or controlled identifying vehicles
- G08G1/0175—Detecting movement of traffic to be counted or controlled identifying vehicles by photographing vehicles, e.g. when violating traffic rules
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- G—PHYSICS
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- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
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Abstract
The invention discloses a highway vehicle monitoring and management system based on belief double-base modeling, which comprises license plate recognition equipment arranged at each identification station, service area and gate for recognizing vehicle license plate information, a vehicle monitoring main controller connected with the license plate recognition equipment, a modeling server connected with the vehicle monitoring main controller for belief double-base modeling calculation and analysis, and a belief double-base service calling platform connected with the modeling server. The invention carries out credibility double-base modeling calculation through the modeling server, finally carries out alarm reminding according to the vehicle identification result, or determines the credibility of the vehicle through the finally calculated interval traffic credibility value, effectively reduces the working intensity of vehicle monitoring and management, has high precision of auxiliary inspection effect, and achieves good support for the expressway vehicle monitoring and management system in the aspects of business work and auxiliary inspection.
Description
Technical Field
The invention relates to the field of highway vehicle monitoring, in particular to a highway vehicle monitoring management system based on belief double-base modeling.
Background
With the rapid increase of highway mileage and the rapid increase of traffic flow, the traffic violation behaviors of the highway are increasingly prominent, and great loss is brought to lives and properties of people. The existing checking management method and equipment for vehicle identification on the highway have extremely low checking accuracy, and are easy to cause actions such as invisible fee evasion or negligence in management.
Disclosure of Invention
The invention aims to provide a highway vehicle monitoring and management system based on belief double-base modeling, which effectively reduces the working strength of vehicle monitoring and management, has high precision of auxiliary inspection effect, and achieves good support for the highway vehicle monitoring and management system in the aspects of business work and auxiliary inspection.
The technical scheme of the invention is as follows:
a highway vehicle monitoring and management system based on confidence suspicion double-base modeling comprises license plate recognition equipment, a vehicle monitoring main controller, a modeling server and a confidence suspicion double-base service calling platform, wherein the license plate recognition equipment is arranged at each identification station, service area and gate and used for recognizing license plate information of vehicles;
the modeling server comprises a control chip, a first road network traffic identification module, an abnormal upper and lower road identification module, a continuous road network traffic identification module, a weight-capacity normalization identification module, a storage module and a wireless communication module, wherein the first road network traffic identification module, the abnormal upper and lower road identification module, the continuous road network traffic identification module, the weight-capacity normalization identification module, the storage module and the wireless communication module are respectively connected with the control chip; the system comprises a first road network traffic identification module, a continuous road network traffic identification module, a weight capacity normalization identification module, a storage module and a control chip, wherein the first road network traffic identification module is used for identifying whether a calculation vehicle is a first road network traffic vehicle, the abnormal upper and lower road identification module is used for identifying whether the calculation vehicle is an abnormal upper and lower vehicle, the continuous road network traffic identification module is used for identifying whether the calculation vehicle is a continuous road network traffic vehicle, the weight capacity normalization identification module is used for identifying whether the calculation vehicle is a weight and volume overload vehicle, the storage module is used for storing result sets calculated by the first road network traffic identification module, the abnormal upper and lower road identification module, the continuous road network identification module and the weight capacity normalization identification module, and the control chip is used for calculating an interval traffic suspicion value of the vehicle according to the;
the working principle of the modeling server is as follows:
(1) the first road network passing identification module counts vehicle identification data of the vehicle passing through each identification station, service area and access in the interval, outputs a first passing identification result of the vehicle, compares the first passing identification result of the vehicle with a preset value, determines that the first passing of the vehicle is not established if the first passing identification result of the vehicle is greater than the preset value, otherwise determines that the first passing of the vehicle is established, and prestores a result set;
(2) the abnormal upper and lower lane identification module counts vehicle identification data of the identification station, the service area and the access in the vehicle interval passing process according to the adjacent station at the access and the preset time period and the station at the access and the preset time period, outputs the abnormal upper and lower lane identification result of the vehicle, compares the abnormal upper and lower lane identification result of the vehicle with a preset value, determines that the abnormal upper and lower lane identification of the vehicle is successful if the abnormal upper and lower lane identification result of the vehicle is greater than the preset value, otherwise, determines that the abnormal upper and lower lane identification of the vehicle is not established, and prestores a result set;
(3) the continuous road network traffic identification module is used for carrying out statistical analysis on historical traffic data of the vehicles according to a sequence by taking the entrance station, the entrance and the monitoring data of the current driving interval as calculation references, when the similarity values of the vehicle identification data of the entrance station and the entrance are larger than a preset value, the calculation results are accumulated until the similarity values are smaller than the preset value, the calculation is stopped outputting the results, and a result set is prestored;
(4) the weight-capacity-standard-degree identification module is used for carrying out statistical analysis on the traffic behavior of a vehicle section by combining an entrance, an exit, weight and volume data and monitoring/picture data from two view angles of weight and volume, when the current load and the volume of the vehicle are in the vehicle type checking specified range, the output result of the weight-capacity-standard-degree identification submodel is qualified, when any one or all of the current load and the volume of the vehicle are not in the vehicle type checking specified range, the identification result of the weight-capacity-standard-degree identification submodel is unqualified, and a result set is prestored;
(5) the control chip calculates the vehicle interval passing suspicion value, see formula (1) specifically, at last through the vehicle credibility of interval passing suspicion value judgement vehicle credibility, the higher the interval passing suspicion value is, the higher the vehicle credibility is, the higher the interval passing suspicion value is:
wherein, the double(s) in the formula (1) represents the section traffic suspicion value, TsRepresenting a characteristic coefficient of the vehicle, PsIndicating a vehicle preference coefficient, LsRepresenting a vehicle historical performance coefficient, CsRepresenting a vehicle credit history coefficient, MnRepresents the result set, k, of the four submodelst、kp、kl、kc、knIndicating the correction factor.
The trust-questioning double-base service calling platform comprises a plurality of mobile client terminals and a plurality of terminal servers, wherein the mobile client terminals, the terminal servers and the vehicle monitoring main controller are all in wireless communication connection with the modeling server.
The letter suspicion double-base service calling platform comprises a single chip microcomputer, a display screen, an alarm and a wireless communication module, wherein the display screen, the alarm and the wireless communication module are respectively connected with the single chip microcomputer, the display screen is used for displaying an identification result sent by a modeling server and a calculated interval passing letter suspicion value, and when information of successful identification is received, the single chip microcomputer drives the alarm to give an alarm to remind a worker of key checking.
The invention has the advantages that:
the invention carries out credibility double-base modeling calculation through the modeling server, carries out vehicle identification and result set calculation through the respective calculation of four modules, carries out alarm reminding according to the vehicle identification result, or determines the credibility of the vehicle through the finally calculated interval traffic credibility value, the vehicle with higher credibility rapidly handles the procedure of paying the highway traffic expense, carries out check and inspection on the vehicle with lower credibility, carries out site accurate striking on various potential illegal behaviors such as invisible fares and the like, effectively reduces the working intensity of vehicle monitoring management, has high accuracy of auxiliary inspection effect, and achieves good support for the highway vehicle monitoring and management system in the aspects of business work and auxiliary inspection.
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Fig. 1 is a schematic block diagram of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
A highway vehicle monitoring and management system based on Xinbi-basic modeling comprises license plate recognition equipment 1 arranged at each identification station, service area and gate for recognizing vehicle license plate information, a vehicle monitoring main controller 2 connected with the license plate recognition equipment 1, a modeling server 3 connected with the vehicle monitoring main controller 2 for Xinbi-basic modeling calculation and analysis, and a Xinbi-basic service calling platform 4 connected with the modeling server 3; the trust double-base service invoking platform 4 comprises a plurality of mobile client terminals 41 and a plurality of terminal servers 42, wherein the plurality of mobile client terminals 41, the plurality of terminal servers 42 and the vehicle monitoring main controller 2 are all in wireless communication connection with the modeling server 3.
The modeling server 3 comprises a control chip 31, a first road network traffic identification module 32, an abnormal upper and lower road identification module 33, a continuous road network traffic identification module 34, a weight-tolerance standardization identification module 35, a storage module 36 and a wireless communication module 37, which are respectively connected with the control chip 31; the first road network traffic identification module 32 is used for identifying whether a calculation vehicle is a first road network traffic vehicle, the abnormal upper and lower road identification module 33 is used for identifying whether the calculation vehicle is an abnormal upper and lower vehicle, the continuous road network traffic identification module 34 is used for identifying whether the calculation vehicle is a continuous road network traffic vehicle, the weight and volume normalization identification module 35 is used for identifying whether the calculation vehicle is a vehicle with weight and volume overload, the storage module 36 is used for storing result sets calculated by the first road network traffic identification module 32, the abnormal upper and lower road identification module 33, the continuous road network traffic identification module 34 and the weight and volume normalization identification module 35, and the control chip 31 is used for calculating a section traffic suspicion value of the vehicle according to the four result sets and sending the section traffic suspicion value to the suspicion double-base service calling platform 4 through the wireless communication module 37.
The mobile client terminals 41 and the terminal servers 42 of the trust and doubt dual-base service calling platform 4 respectively comprise a single chip microcomputer, a display screen, an alarm and a wireless communication module, wherein the display screen, the alarm and the wireless communication module are respectively connected with the single chip microcomputer, the display screen is used for displaying the identification result sent by the modeling server and the calculated interval traffic trust and doubt value, and when the information of successful identification is received, the single chip microcomputer drives the alarm to give an alarm to remind a worker to perform key checking.
The working principle of the modeling server 3 is as follows:
(1) the first road network passing identification module 32 counts vehicle identification data of the vehicle passing through each identification station, service area and gate in the section, outputs a first passing identification result of the vehicle, compares the first passing identification result of the vehicle with a preset value, determines that the first passing of the vehicle is not established if the first passing identification result of the vehicle is greater than the preset value, otherwise determines that the first passing of the vehicle is established, and prestores a result set;
(2) the abnormal upper and lower lane identification module 33 counts the vehicle passing behaviors according to the adjacent station at the entrance and the adjacent station & preset time period and the station & preset time period at the entrance and the exit, combines the vehicle identification data of the identification station, the service area and the bayonet in the vehicle interval passing process, outputs the abnormal upper and lower lane identification result of the vehicle, compares the abnormal upper and lower lane identification result of the vehicle with a preset value, determines that the abnormal upper and lower lane identification of the vehicle is successful if the abnormal upper and lower lane identification result of the vehicle is greater than the preset value, otherwise determines that the abnormal upper and lower lane identification of the vehicle is not established, and prestores a result set;
(3) the continuous road network traffic identification module 34 is used for carrying out statistical analysis on historical traffic data of the vehicles according to a sequence by taking the entrance station, the entrance and the exit of the current driving interval and the monitoring data as calculation references, when the similarity values of the vehicle identification data of the entrance station and the entrance are larger than a preset value, the calculation results are accumulated until the similarity values are smaller than the preset value, the calculation is stopped outputting the results, and a result set is prestored;
(4) the weight-capacity-standard-degree identification module 35 is used for carrying out statistical analysis on the traffic behavior of the vehicle section by combining the entrance and exit, the weight and volume data and the monitoring/picture data from two view angles of weight and volume, when the current load and the volume of the vehicle are in the specified range of vehicle type checking, the output result of the weight-capacity-standard-degree identification sub-model is qualified, and when any one or all of the current load and the volume of the vehicle are not in the specified range of vehicle type checking, the identification result of the weight-capacity-standard-degree identification sub-model is unqualified, and a result set is prestored;
(5) the control chip 31 calculates the vehicle interval passing suspicion value, see formula (1) specifically, at last through the vehicle credibility of the interval passing suspicion value judgement vehicle credibility, the higher the interval passing suspicion value is, the higher the vehicle credibility is, the higher the interval passing suspicion value is:
wherein, the double(s) in the formula (1) represents the section traffic suspicion value, TsRepresenting a characteristic coefficient of the vehicle, PsIndicating a vehicle preference coefficient, LsRepresenting a vehicle historical performance coefficient, CsRepresenting a vehicle credit history coefficient, MnRepresents the result set, k, of the four submodelst、kp、kl、kc、knIndicating the correction factor.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (3)
1. The utility model provides a highway vehicle monitoring management system based on letter is questioned double-base and is modelled, its characterized in that: the system comprises license plate recognition equipment, a vehicle monitoring main controller, a modeling server and a suspicion double-base service calling platform, wherein the license plate recognition equipment is arranged at each identification station, service area and bayonet and used for recognizing vehicle license plate information;
the modeling server comprises a control chip, a first road network traffic identification module, an abnormal upper and lower road identification module, a continuous road network traffic identification module, a weight-capacity normalization identification module, a storage module and a wireless communication module, wherein the first road network traffic identification module, the abnormal upper and lower road identification module, the continuous road network traffic identification module, the weight-capacity normalization identification module, the storage module and the wireless communication module are respectively connected with the control chip; the system comprises a first road network traffic identification module, a continuous road network traffic identification module, a weight capacity normalization identification module, a storage module and a control chip, wherein the first road network traffic identification module is used for identifying whether a calculation vehicle is a first road network traffic vehicle, the abnormal upper and lower road identification module is used for identifying whether the calculation vehicle is an abnormal upper and lower vehicle, the continuous road network traffic identification module is used for identifying whether the calculation vehicle is a continuous road network traffic vehicle, the weight capacity normalization identification module is used for identifying whether the calculation vehicle is a weight and volume overload vehicle, the storage module is used for storing result sets calculated by the first road network traffic identification module, the abnormal upper and lower road identification module, the continuous road network identification module and the weight capacity normalization identification module, and the control chip is used for calculating an interval traffic suspicion value of the vehicle according to the;
the working principle of the modeling server is as follows:
(1) the first road network passing identification module counts vehicle identification data of the vehicle passing through each identification station, service area and access in the interval, outputs a first passing identification result of the vehicle, compares the first passing identification result of the vehicle with a preset value, determines that the first passing of the vehicle is not established if the first passing identification result of the vehicle is greater than the preset value, otherwise determines that the first passing of the vehicle is established, and prestores a result set;
(2) the abnormal upper and lower lane identification module counts vehicle identification data of the identification station, the service area and the access in the vehicle interval passing process according to the adjacent station at the access and the preset time period and the station at the access and the preset time period, outputs the abnormal upper and lower lane identification result of the vehicle, compares the abnormal upper and lower lane identification result of the vehicle with a preset value, determines that the abnormal upper and lower lane identification of the vehicle is successful if the abnormal upper and lower lane identification result of the vehicle is greater than the preset value, otherwise, determines that the abnormal upper and lower lane identification of the vehicle is not established, and prestores a result set;
(3) the continuous road network traffic identification module is used for carrying out statistical analysis on historical traffic data of the vehicles according to a sequence by taking the entrance station, the entrance and the monitoring data of the current driving interval as calculation references, when the similarity values of the vehicle identification data of the entrance station and the entrance are larger than a preset value, the calculation results are accumulated until the similarity values are smaller than the preset value, the calculation is stopped outputting the results, and a result set is prestored;
(4) the weight-capacity-standard-degree identification module is used for carrying out statistical analysis on the traffic behavior of a vehicle section by combining an entrance, an exit, weight and volume data and monitoring/picture data from two view angles of weight and volume, when the current load and the volume of the vehicle are in the vehicle type checking specified range, the output result of the weight-capacity-standard-degree identification submodel is qualified, when any one or all of the current load and the volume of the vehicle are not in the vehicle type checking specified range, the identification result of the weight-capacity-standard-degree identification submodel is unqualified, and a result set is prestored;
(5) the control chip calculates the vehicle interval passing suspicion value, see formula (1) specifically, at last through the vehicle credibility of interval passing suspicion value judgement vehicle credibility, the higher the interval passing suspicion value is, the higher the vehicle credibility is, the higher the interval passing suspicion value is:
wherein, the double(s) in the formula (1) represents the section traffic suspicion value, TsRepresenting a characteristic coefficient of the vehicle, PsIndicating a vehicle preference coefficient, LsRepresenting a vehicle historical performance coefficient, CsRepresenting a vehicle credit history coefficient, MnRepresents the result set, k, of the four submodelst、kp、kl、kc、knIndicating the correction factor.
2. The system for monitoring and managing vehicles on the highway based on belief double-base modeling according to claim 1, wherein the system comprises: the trust-questioning double-base service calling platform comprises a plurality of mobile client terminals and a plurality of terminal servers, wherein the mobile client terminals, the terminal servers and the vehicle monitoring main controller are all in wireless communication connection with the modeling server.
3. The system for monitoring and managing vehicles on the highway based on belief double-base modeling according to claim 1, wherein the system comprises: the letter suspicion double-base service calling platform comprises a single chip microcomputer, a display screen, an alarm and a wireless communication module, wherein the display screen, the alarm and the wireless communication module are respectively connected with the single chip microcomputer, the display screen is used for displaying an identification result sent by a modeling server and a calculated interval passing letter suspicion value, and when information of successful identification is received, the single chip microcomputer drives the alarm to give an alarm to remind a worker of key checking.
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| CN102063744A (en) * | 2010-11-11 | 2011-05-18 | 天津高速公路集团有限公司 | Method for splitting ambiguous path tolls for highways based on license plate recognition |
| CN104731879A (en) * | 2015-03-09 | 2015-06-24 | 江苏省邮电规划设计院有限责任公司 | Expressway vehicle fee evasion behavior data analysis method |
| CN104732205A (en) * | 2015-03-09 | 2015-06-24 | 江苏省邮电规划设计院有限责任公司 | System for checking expressway toll evasion |
| CN105590346A (en) * | 2016-02-18 | 2016-05-18 | 华南理工大学 | Tolling highway network traffic information acquisition and induction system based on path identification system |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH08221619A (en) * | 1995-02-13 | 1996-08-30 | Mitsubishi Heavy Ind Ltd | Noncontact charge reception device |
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Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102063744A (en) * | 2010-11-11 | 2011-05-18 | 天津高速公路集团有限公司 | Method for splitting ambiguous path tolls for highways based on license plate recognition |
| CN104731879A (en) * | 2015-03-09 | 2015-06-24 | 江苏省邮电规划设计院有限责任公司 | Expressway vehicle fee evasion behavior data analysis method |
| CN104732205A (en) * | 2015-03-09 | 2015-06-24 | 江苏省邮电规划设计院有限责任公司 | System for checking expressway toll evasion |
| CN105590346A (en) * | 2016-02-18 | 2016-05-18 | 华南理工大学 | Tolling highway network traffic information acquisition and induction system based on path identification system |
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