CN101814237A - Road condition identifier based on license plate recognition technology and identification method thereof - Google Patents
Road condition identifier based on license plate recognition technology and identification method thereof Download PDFInfo
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- CN101814237A CN101814237A CN200910216540A CN200910216540A CN101814237A CN 101814237 A CN101814237 A CN 101814237A CN 200910216540 A CN200910216540 A CN 200910216540A CN 200910216540 A CN200910216540 A CN 200910216540A CN 101814237 A CN101814237 A CN 101814237A
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Abstract
The invention discloses a road condition identifier based on a license plate recognition technology and an identification method thereof. The identifier mainly comprises a front-end video capture device, an automatic license plate identifier, a vehicle detection device and a multifunctional repair state identification module. The intelligent control of traffic lights is realized finally through collecting traffic parameter data and combining massive historical traffic data. The invention can realize the short-term traffic forecast, detection of special traffic incidents and dynamic control of traffic signals according to the current traffic state, and has the advantages of simple installation and convenient use.
Description
Technical field
The present invention relates to Computer Applied Technology and intelligent transportation control field, particularly based on the road traffic state discriminating gear and the road traffic state method of discrimination of accurate license plate recognition technology.
Background technology
Road traffic state comprises normal condition and abnormality two big classes.Unusual traffic behavior can be divided into the normal logical crowded and traffic events of sexual intercourse of sending out again.The purpose of traffic behavior evaluation is that the utilization certain method is analyzed real time traffic data, and quick identification goes out various unusual traffic behaviors, for traffic control provides foundation.
The method of discrimination of traffic congestion and traffic events can be divided into two big classes: artificial cognition method and automatic distinguishing method.The former comprises that citizen report, full-time staff's report and closed-circuit television supervision etc.The advantage of this method is convenient, direct, economical, and shortcoming is that the requirement there and then has the eyewitness, therefore is difficult to 24 hours round-the-clock playing a role.The latter can obtain increasing concern and tremendous development in the running status of round-the-clock watch-keeping road traffic based on information acquisition and treatment technology, computer technology and the communication technology.
Domestic and international existing traffic state judging device mostly based on the traffic datas such as the magnitude of traffic flow, occupation rate and ground spot speed of inductive coil collection, compares with all kinds of empirical values of prior setting, discerns traffic behavior.The major defect of these class methods is too to rely on the priori threshold value, the synchronous road that can not accurately distinguish stream and all kinds of states that block; Simultaneously, this method can not be carried out short-term prediction to the traffic behavior at check point crossing.In addition, compare with the video acquisition technology, inductive coil consume and installation and maintenance cost are higher.
Summary of the invention
Deficiency at the conventional traffic status discriminator, the objective of the invention is to propose a kind of road condition identifier and method of discrimination thereof based on license plate recognition technology, be intended to front end data based on accurate license plate recognition technology acquisition, on the basis that obtains conventional traffic parameter information such as the magnitude of traffic flow, make full use of other supplementary in the video, analyze and the event detection technology by the traffic parameter is multi-level, realize the accurate identification of traffic behavior.
The object of the present invention is achieved like this: a kind of all-purpose road condition identifier based on accurate license plate recognition technology, comprise vehicle detection apparatus, and also have,
The front end video capture device: adopt video camera to capture vehicle license plate information, simultaneously, the time serial message of the traffic parameter of forming by speed and flow of collection vehicle;
Car plate automatic identification device: be connected with the front end video capture device; The license board information of receiving front-end video capture device output is also discerned and record car plate, simultaneously, receive the interchange parameter information of vehicle, record in addition, and receive the real time traffic data of described vehicle detection apparatus output: comprise the magnitude of traffic flow, occupation rate and place velocity information, in addition record;
All-purpose road condition discrimination module: receive the output information of car plate automatic identification device, according to the time series of traffic parameter, the long-range correlativity of analyzing the magnitude of traffic flow changes, and accurately discerns synchronous flow and wide motion and blocks, and carries out prediction of short-term traffic volume;
According to the thought of random walk theory, will go trend fluction analysis method to be incorporated into the non-stationary seasonal effect in time series self-similarity research of the magnitude of traffic flow; By calculating the Hurst index of different evolution states, analyze of the influence of incident extremum to system's long-range correlativity, the Hurst index variation rule of traffic time sequence is made prediction to traffic congestion when finding traffic to be tending towards blocking up;
Based on the historical traffic data analysis of actual measurement, make up road multi-mode condition discrimination model, dynamic priori threshold value is set, according to the historical traffic data of magnanimity, analyze the road road network structure, distribution of city function and resident trip factor are to the influence of specific road section traffic flow, make up the multi-mode state repository of road, be different periods and highway section, dynamically arrange the priori threshold value, the identification traffic behavior;
Integrated use traffic parameter information and video detection technology, set up the model of cognition of special traffic events:
At the video data of front-end collection, when carrying out car plate identification record traffic parameter information, introduce background subtraction and frame-to-frame differences video detection technology, two category informations are carried out data fusion, realize the detection of traffic events;
Export above-mentioned testing result to the traffic lights controller through communication module.
Above-mentioned front end video capture device adopts the high-definition digital video camera; The car plate automatic identification device adopts the 2000 License Plate recognizers that get the better of.
Another purpose of the present invention provides a kind of road traffic state method of discrimination that adopts above-mentioned arbiter.
Another purpose of the present invention is achieved in that a kind of road condition recognition methods of the all-purpose road condition identifier based on accurate license plate recognition technology, carries out according to the following steps:
A, the traffic parameter that writes down according to the front end video capture device are the time serial message of speed and flow, and the long-range correlativity of analyzing the traffic parameter changes, and accurately discern synchronous flow and wide motion and block, and carry out prediction of short-term traffic volume;
According to the thought of random walk theory, will go trend fluction analysis method to be incorporated into the non-stationary seasonal effect in time series self-similarity research of the magnitude of traffic flow.By calculating the Hurst index of different evolution states, analyze of the influence of incident extremum to system's long-range correlativity, the Hurst index variation rule of traffic time sequence is made prediction to traffic congestion when finding traffic to be tending towards blocking up;
B, based on the historical traffic data analysis of actual measurement, make up road multi-mode condition discrimination model, dynamic priori threshold value is set;
Simultaneously, according to the historical traffic data of magnanimity, analyze the road road network structure, city function distribution and resident trip factor make up the multi-mode state repository of road to the influence of specific road section traffic flow, are different periods and highway section, dynamically arrange the priori threshold value, the identification traffic behavior;
C, integrated use traffic parameter information and video detection technology, set up the model of cognition of special traffic events:
At the video data of front end video capture device, when carrying out car plate identification record traffic parameter information, introduce background subtraction and frame-to-frame differences video detection technology, two category informations are carried out data fusion, realize the detection of traffic events;
D, optimize the control of road traffic lights according to recognition result at last;
Above-mentioned traffic status identification process is by the control of traffic control command centre and upgrade controlled variable.
Compared with prior art, the invention has the beneficial effects as follows:
1, the present invention can realize the short-term prediction of traffic, and special traffic events detects and dynamically controls traffic signals according to current traffic behavior.
2, the present invention can unite use with the car plate recognizer of generally installing now, installs simple, easy to use.
3, model algorithm counting yield height of the present invention can embed DSP, and application prospect is extensive.
Description of drawings
Fig. 1 is a data flowchart of the present invention;
Fig. 2 is software design scheme figure of the present invention;
Fig. 3 is system hardware structure figure of the present invention
Embodiment
Fig. 3 illustrates, and the present invention includes vehicle detection apparatus, also have,
The front end video capture device: adopt video camera to capture vehicle license plate information, simultaneously, the time serial message of the traffic parameter of forming by speed and flow of collection vehicle;
Car plate automatic identification device: be connected with the front end video capture device; The license board information of receiving front-end video capture device output is also discerned and record car plate, simultaneously, receive the interchange parameter information of vehicle, record in addition, and receive the real time traffic data of described vehicle detection apparatus output: comprise the magnitude of traffic flow, occupation rate and place velocity information, in addition record;
All-purpose road condition discrimination module: receive the output information of car plate automatic identification device, according to the time series of traffic parameter, the long-range correlativity of analyzing the magnitude of traffic flow changes, and accurately discerns synchronous flow and wide motion and blocks, and carries out prediction of short-term traffic volume;
According to the thought of random walk theory, will go trend fluction analysis method to be incorporated into the non-stationary seasonal effect in time series self-similarity research of the magnitude of traffic flow; By calculating the Hurst index of different evolution states, analyze of the influence of incident extremum to system's long-range correlativity, the Hurst index variation rule of traffic time sequence is made prediction to traffic congestion when finding traffic to be tending towards blocking up;
Based on the historical traffic data analysis of actual measurement, make up road multi-mode condition discrimination model, dynamic priori threshold value is set, according to the historical traffic data of magnanimity, analyze the road road network structure, distribution of city function and resident trip factor are to the influence of specific road section traffic flow, make up the multi-mode state repository of road, be different periods and highway section, dynamically arrange the priori threshold value, the identification traffic behavior;
Integrated use traffic parameter information and video detection technology, set up the model of cognition of special traffic events:
At the video data of front-end collection, when carrying out car plate identification record traffic parameter information, introduce background subtraction and frame-to-frame differences video detection technology, two category informations are carried out data fusion, realize the detection of traffic events;
Export above-mentioned testing result to the traffic lights controller through communication module.
Vehicle detection apparatus (prior art, as, detect vehicular traffic by ground induction coil) be connected with the car plate automatic identification device, the front end video capture device is connected with the car plate automatic identification device, the output signal of car plate automatic identification device reaches multi-functional condition discrimination module, after treatment, deliver to the traffic lights controller through communication module again, simultaneously, to command centre, the information of command centre transfers to client through the public security net to the two output signal of all-purpose road condition discrimination module and car plate automatic identification device through Network Transmission.
The major technique equipment that relates among the figure is as follows: the all-purpose road state identifier of our company's exploitation, based on the electronic vehicle scanning equipment of x86 framework, based on the 2000 License Plate recognizers that get the better of of DSP framework, led array light filling lamp, high-definition digital video camera etc.
All-purpose road condition discrimination method of the present invention is as follows:
According to the time serial message of the traffic parameter (speed and flow) of front end video capture device record, the long-range correlativity of analyzing the traffic parameter changes, and accurately discerns synchronous flow and wide motion and blocks, and carries out prediction of short-term traffic volume.
According to the thought of random walk theory, will go trend fluction analysis method to be incorporated into the non-stationary seasonal effect in time series self-similarity research of the magnitude of traffic flow.By calculating the Hurst index of different evolution states, analyze of the influence of incident extremum to system's long-range correlativity, the Hurst index variation rule of traffic time sequence is made prediction to traffic congestion when finding traffic to be tending towards blocking up.
Based on the historical traffic data analysis of actual measurement, make up road multi-mode condition discrimination model, dynamic priori threshold value is set.
Traditional traffic arbiter is not considered the time variation of all kinds of subjective and objective factors to the influence and the traffic flow self of road section traffic volume, usually single judgment threshold is adopted at all crossings.In this patent,, analyze the road road network structure according to the historical traffic data of magnanimity, factors such as city function distribution and resident trip make up the multi-mode state repository of road to the influence of specific road section traffic flow, are different periods and highway section, dynamically arrange the priori threshold value, the identification traffic behavior.
Integrated use traffic parameter information and video detection technology are set up the model of cognition of special traffic events.
Traditional traffic events detecting device mainly adopts the image/video correlation technique to discern.New arbiter when carrying out car plate identification record traffic parameter information, is introduced video detection technologies such as background subtraction and frame-to-frame differences at the video data of front-end collection, and two category informations are carried out data fusion, realizes the detection of traffic events.
Optimize the control of road traffic lights according to recognition result at last.
The traffic status identification process is by the control of traffic control command centre and upgrade controlled variable.
Fig. 1 illustrates, the present invention at first obtains and writes down the traffic data that the front end video equipment is gathered, then utilize intellectual technologies such as multi-level analysis of traffic parameter and event detection to realize the accurate identification of traffic behavior, optimize the control of road traffic lights according to recognition result at last.In addition, the road Identification module is subjected to the control of traffic control command centre and upgrades controlled variable.
Fig. 2 illustrates, the present invention is with the historical traffic data of magnanimity, consider the road road network structure, factors such as city function distribution and resident trip are to the influence of road traffic flow, make up the multi-mode state repository of road, in conjunction with based on the prediction of short-term traffic volume model that goes trend fluction analysis method, realize intelligent traffic light control simultaneously.
Claims (3)
1. all-purpose road condition identifier based on accurate license plate recognition technology comprises that vehicle detection apparatus is characterized in that: also has,
The front end video capture device: adopt video camera to capture vehicle license plate information, simultaneously, the time serial message of the traffic parameter of forming by speed and flow of collection vehicle;
Car plate automatic identification device: be connected with the front end video capture device; The license board information of receiving front-end video capture device output is also discerned and record car plate, simultaneously, receive the interchange parameter information of vehicle, record in addition, and receive the real time traffic data of described vehicle detection apparatus output: comprise the magnitude of traffic flow, occupation rate and place velocity information, in addition record;
All-purpose road condition discrimination module: receive the output information of car plate automatic identification device, according to the time series of traffic parameter, the long-range correlativity of analyzing the magnitude of traffic flow changes, and accurately discerns synchronous flow and wide motion and blocks, and carries out prediction of short-term traffic volume;
According to the thought of random walk theory, will go trend fluction analysis method to be incorporated into the non-stationary seasonal effect in time series self-similarity research of the magnitude of traffic flow; By calculating the Hurst index of different evolution states, analyze of the influence of incident extremum to system's long-range correlativity, the Hurst index variation rule of traffic time sequence is made prediction to traffic congestion when finding traffic to be tending towards blocking up;
Based on the historical traffic data analysis of actual measurement, make up road multi-mode condition discrimination model, dynamic priori threshold value is set, according to the historical traffic data of magnanimity, analyze the road road network structure, distribution of city function and resident trip factor are to the influence of specific road section traffic flow, make up the multi-mode state repository of road, be different periods and highway section, dynamically arrange the priori threshold value, the identification traffic behavior;
Integrated use traffic parameter information and video detection technology, set up the model of cognition of special traffic events:
At the video data of front-end collection, when carrying out car plate identification record traffic parameter information, introduce background subtraction and frame-to-frame differences video detection technology, two category informations are carried out data fusion, realize the detection of traffic events;
Export above-mentioned testing result to the traffic lights controller through communication module.
2. according to the described a kind of all-purpose road condition identifier based on accurate license plate recognition technology of claim 1, it is characterized in that: described front end video capture device adopts the high-definition digital video camera; Described car plate automatic identification device adopts the 2000 License Plate recognizers that get the better of.
3. the road condition recognition methods of a kind of according to claim 1 all-purpose road condition identifier based on accurate license plate recognition technology is characterized in that: carry out according to the following steps:
A, the traffic parameter that writes down according to the front end video capture device are the time serial message of speed and flow, and the long-range correlativity of analyzing the traffic parameter changes, and accurately discern synchronous flow and wide motion and block, and carry out prediction of short-term traffic volume;
According to the thought of random walk theory, will go trend fluction analysis method to be incorporated into the non-stationary seasonal effect in time series self-similarity research of the magnitude of traffic flow; By calculating the Hurst index of different evolution states, analyze of the influence of incident extremum to system's long-range correlativity, the Hurst index variation rule of traffic time sequence is made prediction to traffic congestion when finding traffic to be tending towards blocking up;
B, based on the historical traffic data analysis of actual measurement, make up road multi-mode condition discrimination model, dynamic priori threshold value is set;
Simultaneously, according to the historical traffic data of magnanimity, analyze the road road network structure, city function distribution and resident trip factor make up the multi-mode state repository of road to the influence of specific road section traffic flow, are different periods and highway section, dynamically arrange the priori threshold value, the identification traffic behavior;
C, integrated use traffic parameter information and video detection technology, set up the model of cognition of special traffic events:
At the video data of front end video capture device, when carrying out car plate identification record traffic parameter information, introduce background subtraction and frame-to-frame differences video detection technology, two category informations are carried out data fusion, realize the detection of traffic events;
D, optimize the control of road traffic lights according to recognition result at last;
Above-mentioned traffic status identification process is by the control of traffic control command centre and upgrade controlled variable.
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Cited By (13)
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| CN102034360A (en) * | 2010-12-10 | 2011-04-27 | 中兴通讯股份有限公司 | Method and device for realizing self-adaption of traffic light |
| CN102122439A (en) * | 2011-04-01 | 2011-07-13 | 上海千年工程建设咨询有限公司 | Drive time prediction device |
| CN103500504A (en) * | 2013-09-30 | 2014-01-08 | 同济大学 | Urban road traffic parameter estimation and road situation discrimination method based on RFID (Radio Frequency Identification) data and application system |
| CN104243900A (en) * | 2013-06-21 | 2014-12-24 | 中兴通讯股份有限公司 | Vehicle arrival time prediction system and method |
| CN107545757A (en) * | 2016-06-24 | 2018-01-05 | 中国第汽车股份有限公司 | Urban road flow rate measuring device and method based on Car license recognition |
| CN107564315A (en) * | 2017-09-11 | 2018-01-09 | 安徽实运信息科技有限责任公司 | A kind of urban transportation intellectuality inducible system |
| CN107564314A (en) * | 2017-09-11 | 2018-01-09 | 安徽实运信息科技有限责任公司 | A kind of early warning system based on traffic congestion |
| CN107590999A (en) * | 2017-08-18 | 2018-01-16 | 广东方纬科技有限公司 | A kind of traffic state judging method based on bayonet socket data |
| CN109147354A (en) * | 2018-08-15 | 2019-01-04 | 重庆邮电大学 | Intelligent traffic lamp system and its control method based on V2X and ZigBee communication |
| CN109615863A (en) * | 2018-12-29 | 2019-04-12 | 南京理工大学 | A kind of traffic congestion detection and communication device and detection method based on Car license recognition |
| CN110428629A (en) * | 2019-09-03 | 2019-11-08 | 浙江创研信息技术有限公司 | A kind of condition of road surface detection method based on intelligent road measuring device |
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| CN102034360A (en) * | 2010-12-10 | 2011-04-27 | 中兴通讯股份有限公司 | Method and device for realizing self-adaption of traffic light |
| CN102034360B (en) * | 2010-12-10 | 2013-12-11 | 中兴通讯股份有限公司 | Method and device for realizing self-adaption of traffic light |
| CN102122439A (en) * | 2011-04-01 | 2011-07-13 | 上海千年工程建设咨询有限公司 | Drive time prediction device |
| CN102122439B (en) * | 2011-04-01 | 2013-06-05 | 上海千年城市规划工程设计股份有限公司 | Drive time prediction device |
| CN104243900A (en) * | 2013-06-21 | 2014-12-24 | 中兴通讯股份有限公司 | Vehicle arrival time prediction system and method |
| CN103500504A (en) * | 2013-09-30 | 2014-01-08 | 同济大学 | Urban road traffic parameter estimation and road situation discrimination method based on RFID (Radio Frequency Identification) data and application system |
| CN107545757A (en) * | 2016-06-24 | 2018-01-05 | 中国第汽车股份有限公司 | Urban road flow rate measuring device and method based on Car license recognition |
| CN107590999A (en) * | 2017-08-18 | 2018-01-16 | 广东方纬科技有限公司 | A kind of traffic state judging method based on bayonet socket data |
| CN107564314A (en) * | 2017-09-11 | 2018-01-09 | 安徽实运信息科技有限责任公司 | A kind of early warning system based on traffic congestion |
| CN107564315A (en) * | 2017-09-11 | 2018-01-09 | 安徽实运信息科技有限责任公司 | A kind of urban transportation intellectuality inducible system |
| CN109147354A (en) * | 2018-08-15 | 2019-01-04 | 重庆邮电大学 | Intelligent traffic lamp system and its control method based on V2X and ZigBee communication |
| CN109615863A (en) * | 2018-12-29 | 2019-04-12 | 南京理工大学 | A kind of traffic congestion detection and communication device and detection method based on Car license recognition |
| CN109615863B (en) * | 2018-12-29 | 2021-11-23 | 南京理工大学 | Traffic jam detection and communication device and detection method based on license plate recognition |
| CN110428629A (en) * | 2019-09-03 | 2019-11-08 | 浙江创研信息技术有限公司 | A kind of condition of road surface detection method based on intelligent road measuring device |
| CN110517504A (en) * | 2019-09-27 | 2019-11-29 | 连云港杰瑞电子有限公司 | The noninductive preferential signal control method of target vehicle based on Car license recognition |
| CN112330962A (en) * | 2020-11-04 | 2021-02-05 | 杭州海康威视数字技术股份有限公司 | Traffic signal lamp control method and device, electronic equipment and computer storage medium |
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Application publication date: 20100825 |