CN101197080A - Novel intelligent traffic light control system - Google Patents
Novel intelligent traffic light control system Download PDFInfo
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- CN101197080A CN101197080A CNA2006100225814A CN200610022581A CN101197080A CN 101197080 A CN101197080 A CN 101197080A CN A2006100225814 A CNA2006100225814 A CN A2006100225814A CN 200610022581 A CN200610022581 A CN 200610022581A CN 101197080 A CN101197080 A CN 101197080A
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Abstract
The invention provides a novel intelligent type traffic light control system, mainly comprising a camera module, a recognizer, a server and a traffic light controller in-order cascade connection, wherein the recognizer comprises a vehicle detecting module, a flowrate detecting module, a vehicle snapshortting module, a vehicle nameplate recognition module and a vehicle model recognition module; the recognizer counts passing cars by adopting the video virtual coil technology, calculates the vehicle flow rate, recognizes the vehicle model and nameplate based on snapshortted photos and sends other information formed by the vehicle flow rate, the vehicle model and the vehicle nameplate to traffic light time operation module. The invention has the advantages of accurately counting cars, greatly increasing the amount of information acquired, being capable of working out the average waiting time of vehicle and the shortest traffic light time and saving road traffic resources.
Description
Technical field
The present invention relates to intelligent traffic signals control field, is the crossing controlling system of traffic light of realizing according to parameters such as vehicle flowrate, vehicle, number plates specifically.
Background technology
Early stage fixedly traffic lights system does not have intellectuality, and the red light green time fixedly installs, can not be according to the variation of actual conditions intelligence.Such management system obviously can cause very big road waste, such as, a crossroad, empty none car of direction possibility, another direction queues the wagon flow queue, but has only and is seeing idle crossing helplessly, and the wait green light is come.
Current new traffic lights system can regulate automatically according to vehicle flowrate.(number of patent application: 200410066927.1), the purpose of this patent is to regulate traffic lights according to the actual vehicle flowrate automatic dynamic of different directions on the road to the Chinese patent " according to the self-regulating traffic lights of vehicle flowrate system " that this respect has inventor Zhu Wang Yi to apply for.System comprises controller, time display, the signal lamp in the original system, the vehicle flowrate sensor is set on road, this sensor is connected with identification circuit, and the clock oscillation in the controller adopts the Frequency Adjustable oscillating circuit, and its control end is connected with the output terminal of identification circuit.This patent can be used the vehicle flowrate sensor, in conjunction with identification circuit work, and what of measuring vehicle, the concussion frequency of the clock oscillation in the adjustment control, control the signal switching time at each crossing, reached the waiting time of rational allocation vehicle, make full use of the purpose of path resource.This patented technology has following deficiency:
(1) the vehicle flowrate sensor of this system adopts low sense coil, is a kind of sensing technology based on attribute.The basis for estimation of system is the quantity by vehicle, and can't know the out of Memory of vehicle.But under actual conditions, difference is very big, same green time between cart and the dolly, can pass through 5 dollies, may but can only pass through 3 carts.
(2) low sense Coil technique itself can not adapt to the actual conditions of China's urban highway traffic fully, counts inaccurately, and very big error is arranged.This is because the urban road of China belongs to and mixes currently, except automobile, also has motorcycle etc. on the way to travel.The counting accuracy rate can reach 70% just good.
Summary of the invention
The objective of the invention is the problem and shortage part that exists at prior art and a kind of novel intelligent traffic light control system is provided, be intended to adopt the real-time automatic identification technology of accurate sensing technology and vehicle to adjust the traffic lights time more exactly, make full use of the urban transportation resource.
The object of the present invention is achieved like this: a kind of New Intelligent controlling system of traffic light, comprise the traffic lights controller, and it is characterized in that also having photographing module, recognizer and the server that comprises traffic lights temporal calculation module and digital communication module; Contain the vehicle detection module in the recognizer, flow detection module, vehicle snapshot module, number plate of vehicle identification module, vehicle identification module; Wherein:
Photographing module, be connected with vehicle detection module and vehicle snapshot module with LED light filling control module, to reach the vehicle detection module to the photographed images signal that the monitoring track is taken in real time, simultaneously, receive vehicle snapshot module trigger pip, take and capture picture signal, and it is back to the vehicle snapshot module;
The vehicle detection module, after obtaining the picture signal of photographing module, extract the virtual coil area image, with its virtual coil area image comparison judgement when the no car, if the two is identical, then repeat above-mentioned steps once more, if the two is inequality, the photographed images signal that then will detect vehicle exports flow detection module and vehicle snapshot module to;
The flow detection module, receive the photographed images signal of vehicle after, carry out count update vehicle flow data, and it outputed to traffic lights temporal calculation module in the server;
The vehicle snapshot module when receiving the signal of vehicle detection module, sends a trigger pip to photographing module, and photographing module is captured immediately by vehicle, and will capture picture signal and be back to the vehicle snapshot module;
The number plate of vehicle identification module carries out number plate of vehicle identification to the candid photograph picture signal that receives, and the number plate information of vehicle is outputed to vehicle identification module and traffic lights temporal calculation module;
The vehicle identification module, receive capture picture signal and number plate of vehicle information after, the two is in conjunction with the vehicle that identifies vehicle, and the vehicle size type information after will discerning outputs to traffic lights temporal calculation module;
Operate in the traffic lights temporal calculation module on the server, the traffic lights time is carried out computing according to crossing traffic lights model;
Operate in the data communication module on the server, accept the result of traffic lights temporal calculation of traffic lights temporal calculation module output and the out of Memory of vehicle, and these information are sent to the traffic lights controller through network.
Also have LED light filling control module, control the startup of light filling system automatically or close, make video camera obtain image the best in quality according to the ambient lighting situation.
Generally, the solution of the present invention is: video camera is set on road, and this video camera is connected with recognizer, and recognizer is connected by data network with background server.When automobile crosses, trigger video frequency pick-up head, take the photo of this automobile, pass to recognizer.Other information such as license plate for vehicle number, vehicle and Che Biao that each crossing of recognizer Real time identification is passed through, the information of vehicles data of identification are transferred to background server by network transmission system, at server end according to certain traffic control model, develop special software and calculate and handle, last server becomes operation result into control information and is transferred to network traffic lights controller.
Beneficial effect is:
Advantage of the present invention is:
(1) the present invention adopts video virtual coil technology, has solved the deficiency of existing low sense coil as the vehicle flowrate sensor, and the vehicle count accuracy is improved, and can reach more than 98% on the urban road of mixed traffic flow;
(2) big the increasing that contain much information that obtains can obtain vehicle and other data more accurately.Can know the license number of vehicle according to the identification of number plate of vehicle, color (yellow card, blue board) according to vehicle license can judge it is the cart dolly, can determine the base attribute of vehicle according to the identification of information such as Che Biao, model as car, certainly, we also can obtain easily vehicle time of passing through.Like this, we just can know at what what (What) (When), what place (Where), what car (Which) have been constantly.We can obtain the shooting picture of this car simultaneously and consult use fully in case of necessity.
(3) above counting accurately and vehicle information has been arranged, can develop corresponding software, calculated and send as an envoy to the shortest traffic lights time of vehicle average latency at server end.At last control information is sent to the controller of existing traffic lights system.
The present invention is an intelligent traffic-light control device of new generation, and it can be dispatched the crossing traffic lights time more exactly, can make full use of the urban transportation resource to greatest extent.
Description of drawings
Fig. 1 is that the road upper sensor is provided with figure;
Fig. 2 is system equipment connection layout (video camera and the recognizer of the direction road that only draws among the figure);
Fig. 3 is system logic structure figure of the present invention;
Fig. 4 is the program flow diagram of vehicle detection module shown in Figure 3;
Fig. 5 is the program flow diagram of flow detection module shown in Figure 3;
Fig. 6 is the program flow diagram of vehicle snapshot module shown in Figure 3;
Fig. 7 is the program flow diagram of number plate of vehicle identification module shown in Figure 3;
Fig. 8 is the program flow diagram of vehicle identification module shown in Figure 3.
Embodiment
Fig. 2 illustrates, and the present invention is provided with video camera on road, and this video camera is connected with recognizer, and recognizer and background server 13 are connected by network, and the control signal of server 10 is delivered to the traffic lights controller by network.Referring to Fig. 1, video camera 5,6,7,8 and recognizer 9,10,11,12 are set on road 1,2,3,4, server is placed on the machine room the inside.The equal configuration high-speed digital camera in each track, video camera is installed on the transverse arm of belisha beacon bar, corresponding track of being monitored, the tail board of shooting automobile.The high-speed figure video camera all has protective cover.On Traffic signal post, hang a temperature control dustproof case, place the recognizer 9,10,11,12 and the network equipment in the cabinet.Recognizer receives digital video signal and the analog video signal that the high-speed figure video camera is sent here, and recognizer also can be passed to control signal in the high-speed figure video camera video camera is controlled.
Principle of work of the present invention is: when automobile crosses, trigger video camera, take the image of this automobile, pass to recognizer.Other information such as license plate for vehicle number, vehicle and Che Biao that each crossing of recognizer Real time identification is passed through, the information of vehicles data of identification are transferred to background server by network transmission system, (can be a zone at server end according to certain traffic control model, also can be a city), develop special software and calculate and handle, last server becomes operation result into control information and is transferred to network traffic lights controller.
The logical organization of system is seen Fig. 3, below is the function introduction of each module:
(1) photographing module, be connected with vehicle detection module and vehicle snapshot module with LED light filling control module, to reach the vehicle detection module to the photographed images signal that the monitoring track is taken in real time, simultaneously, receive vehicle snapshot module trigger pip, take and capture picture signal, and it is back to the vehicle snapshot module; Photographing module is general shelf hardware product.Related hardware is made up of relevant devices such as video camera, protective covers, is installed in the crossing that needs.Video camera is installed on the transverse arm of belisha beacon bar, corresponding track of being monitored, the tail board of shooting automobile.
Photographing module will be taken the situation in the track of monitoring in real time, and by video line the live signal of taking be transferred back in the recognizer, enter subsequent module (candid photograph, detection module).
(2) LED light filling control module is general shelf hardware product.The shooting function of native system configuration is controlled the startup of light filling system automatically according to the ambient lighting situation automatically or is closed, and adjustment adapts to, guarantee under the engineering applicable cases, to obtain image the best in quality always, solved reflective, the high light, the backlight problem that influence licence plate automatic recognition system performance for a long time.LED light filling control module is according to environmental light intensity foot or when not enough, closes automatically or opens, and to remedy surround lighting deficiency at night, causes the figure kine bias dark, and noise increases, and reduces the image recognition quality.
(3) the vehicle detection module is a software module, operates on the recognizer.The vehicle detection module adopts video virtual coil technology, does not need extra inductive coil, need not destroy the road surface.In a single day the vehicle detection module has monitored vehicle passes through, and notifies subsequent module that video information is handled immediately.Simultaneously, this module is counted vehicle.Video virtual coil technology is an industry current techique, and its principle is to draw a zone on the road surface as the virtual coil zone, and when vehicle was regional by this, the picture that video camera captures can be had any different with the picture that does not have vehicle.By adopting mode identification technology to calculate, the vehicle detection module will detect vehicle and pass through information.Detect accuracy rate and surpass more than 98%, be much higher than the accuracy rate of inductive coil.After the vehicle detection module detects vehicle, this information is passed to vehicle snapshot module and flow detection module immediately.Concrete processing procedure is seen Fig. 4: the vehicle detection module, after obtaining the picture signal of photographing module, extract the virtual coil area image, with its virtual coil area image comparison judgement when the no car, if the two is identical, then repeat above-mentioned steps once more, if the two is inequality, the photographed images signal that then will detect vehicle exports flow detection module and vehicle snapshot module to;
(4) the flow detection module is a software module, operates on the recognizer.Its receives the data of vehicle detection module, and counts, and the flow information at the crossing that monitored is passed through in output.Concrete processing procedure is seen Fig. 5: the flow detection module, receive the photographed images signal of vehicle after, carry out count update vehicle flow data, and it outputed to traffic lights temporal calculation module in the server.
(5) the vehicle snapshot module is a software module, operates on the recognizer.When the vehicle detection module has detected vehicle and passes through, send a trigger message just for the vehicle snapshot module.The vehicle snapshot module is captured the image by vehicle immediately, with vehicle image pass to the number plate of vehicle identification module, the vehicle identification module is handled.Pass to also having of number plate of vehicle identification module, vehicle identification module simultaneously with vehicle image by relevant information such as times.Concrete processing procedure is seen Fig. 6: the vehicle snapshot module, when receiving the signal of vehicle detection module, send a trigger pip to photographing module, and photographing module is captured immediately by vehicle, and will capture picture signal and be back to the vehicle snapshot module.
(6) the number plate of vehicle identification module is a software module, operates on the recognizer.Its effect is the number plate information of identification by vehicle.After the number plate of vehicle identification module receives the image that the vehicle snapshot module provides, the licence plate of automobile among the figure is discerned and automatically after the correction process, the number plate result who identifies imported in the traffic lights temporal calculation module through judging.To not be subjected to the restriction of vehicle license installation site in the image during identification.Concrete processing procedure is seen Fig. 7: the number plate of vehicle identification module, the candid photograph picture signal that receives is carried out number plate of vehicle identification, and information in the number plate of vehicle is outputed to vehicle identification module and traffic lights temporal calculation module;
(7) the vehicle identification module is a software module, operates on the recognizer.Its effect is the vehicle information (mainly be vehicle size information) of identification by vehicle.After receiving the image that the vehicle snapshot module provides, on the car plate base of recognition, identify the vehicle of vehicle, the vehicle size type information that identifies is transferred in the traffic lights temporal calculation module.Concrete processing procedure is seen Fig. 8: the vehicle identification module, behind the candid photograph picture intelligence and number plate of vehicle information that receives, the two is in conjunction with the vehicle that identifies vehicle, and the vehicle size type information after will discerning outputs to traffic lights temporal calculation module.
(8) traffic lights temporal calculation module is a software module, operates on the server.Its effect is according to certain model the traffic lights time to be calculated.Such traffic lights model can be the simple traffic lights model at a crossing, also can be a zone, even may be the extremely complicated model of covering whole city.Present embodiment is a naive model at the crossing.
(9) data communication module is a software module, operates on the server.Result and other information of traffic lights temporal calculation is sent to original system through network traffic lights controller.
Claims (2)
1. a New Intelligent controlling system of traffic light comprises the traffic lights controller, it is characterized in that, also has photographing module, recognizer and the server that comprises traffic lights temporal calculation module and digital communication module; Contain the vehicle detection module in the recognizer, flow detection module, vehicle snapshot module, number plate of vehicle identification module, vehicle identification module; Wherein:
Photographing module, be connected with vehicle detection module and vehicle snapshot module with LED light filling control module, to reach the vehicle detection module to the photographed images signal that the monitoring track is taken in real time, simultaneously, receive vehicle snapshot module trigger pip, take and capture picture signal, and it is back to the vehicle snapshot module;
The vehicle detection module, after obtaining the picture signal of photographing module, extract the virtual coil area image, with its virtual coil area image comparison judgement when the no car, if the two is identical, then repeat above-mentioned steps once more, if the two is inequality, the photographed images signal that then will detect vehicle exports flow detection module and vehicle snapshot module to;
The flow detection module, receive the photographed images signal of vehicle after, carry out count update vehicle flow data, and it outputed to traffic lights temporal calculation module in the server;
The vehicle snapshot module when receiving the signal of vehicle detection module, sends a trigger pip to photographing module, and photographing module is captured immediately by vehicle, and will capture picture signal and be back to the vehicle snapshot module;
The number plate of vehicle identification module carries out number plate of vehicle identification to the candid photograph picture signal that receives, and the number plate information of vehicle is outputed to vehicle identification module and traffic lights temporal calculation module;
The vehicle identification module, receive capture picture signal and number plate of vehicle information after, the two is in conjunction with the vehicle that identifies vehicle, and the vehicle size type information after will discerning outputs to traffic lights temporal calculation module;
Operate in the traffic lights temporal calculation module on the server, the traffic lights time is carried out computing according to crossing traffic lights model;
Operate in the data communication module on the server, accept the result of traffic lights temporal calculation of traffic lights temporal calculation module output and the out of Memory of vehicle, and these information are sent to the traffic lights controller through network.
2. according to the described controlling system of traffic light of claim 1, it is characterized in that also having LED light filling control module, control the startup of light filling system automatically or close, make video camera obtain image the best in quality according to the ambient lighting situation.
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| CN200610022581A CN100595809C (en) | 2006-12-22 | 2006-12-22 | Novel intelligent traffic light control system |
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| CN200610022581A CN100595809C (en) | 2006-12-22 | 2006-12-22 | Novel intelligent traffic light control system |
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Cited By (17)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN102013170A (en) * | 2010-10-29 | 2011-04-13 | 北京工业大学 | Vehicle counting-based traffic light control system and control method thereof |
| CN102129779A (en) * | 2010-01-13 | 2011-07-20 | 中国科学院自动化研究所 | Monitoring system of safety and efficiency of traffic signal of intersection |
| CN102194320A (en) * | 2011-04-25 | 2011-09-21 | 杭州海康威视数字技术股份有限公司 | High-definition network intelligent camera and high-definition network intelligent shooting method |
| CN102324183A (en) * | 2011-09-19 | 2012-01-18 | 华中科技大学 | Vehicle detection and grasp shoot method based on compound virtual coil |
| CN103383816A (en) * | 2013-07-01 | 2013-11-06 | 青岛海信网络科技股份有限公司 | Method and device for controlling traffic signals of multipurpose electronic police mixed traffic flow detection |
| CN103456170A (en) * | 2013-04-22 | 2013-12-18 | 天津工业大学 | Vehicle speed and vehicle queue length detection method based on machine vision |
| CN103871259A (en) * | 2014-03-10 | 2014-06-18 | 烟台大学 | Centralized coordination type annunciator and crossing electronic policeman integrated system and traffic light control |
| CN104485003A (en) * | 2014-12-18 | 2015-04-01 | 武汉大学 | Intelligent traffic signal control method based on pipeline model |
| CN105632196A (en) * | 2014-09-16 | 2016-06-01 | 赵菲菲 | Method and system for controlling traffic signal lamp in real time and intelligently |
| CN107316469A (en) * | 2017-06-14 | 2017-11-03 | 苏州远征魂车船技术有限公司 | A kind of intelligent traffic system of traffic lights interval networking |
| CN107564300A (en) * | 2017-09-27 | 2018-01-09 | 安徽四创电子股份有限公司 | A kind of design method of the optimal traffic lights based on crossing video resource |
| CN108133594A (en) * | 2017-12-20 | 2018-06-08 | 安徽云森物联网科技有限公司 | A kind of vehicle recongnition technique of LORA modules |
| CN109410601A (en) * | 2018-12-04 | 2019-03-01 | 北京英泰智科技股份有限公司 | Method for controlling traffic signal lights, device, electronic equipment and storage medium |
| 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 |
| CN110599781A (en) * | 2019-09-23 | 2019-12-20 | 潍坊畅讯交通设施工程有限公司 | Traffic flow statistics and recognition system for intelligent city |
| CN111768631A (en) * | 2020-06-05 | 2020-10-13 | 中冶南方城市建设工程技术有限公司 | Driving prompt device and method for underground garage |
| CN112071093A (en) * | 2020-04-22 | 2020-12-11 | 义硕智能股份有限公司 | Control system and method for traffic signal lamp |
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2006
- 2006-12-22 CN CN200610022581A patent/CN100595809C/en not_active Expired - Fee Related
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| CN102129779A (en) * | 2010-01-13 | 2011-07-20 | 中国科学院自动化研究所 | Monitoring system of safety and efficiency of traffic signal of intersection |
| CN102129779B (en) * | 2010-01-13 | 2014-04-23 | 中国科学院自动化研究所 | Monitoring system of safety and efficiency of traffic signal of intersection |
| CN102013170A (en) * | 2010-10-29 | 2011-04-13 | 北京工业大学 | Vehicle counting-based traffic light control system and control method thereof |
| CN102194320A (en) * | 2011-04-25 | 2011-09-21 | 杭州海康威视数字技术股份有限公司 | High-definition network intelligent camera and high-definition network intelligent shooting method |
| CN102324183A (en) * | 2011-09-19 | 2012-01-18 | 华中科技大学 | Vehicle detection and grasp shoot method based on compound virtual coil |
| CN103456170A (en) * | 2013-04-22 | 2013-12-18 | 天津工业大学 | Vehicle speed and vehicle queue length detection method based on machine vision |
| CN103383816B (en) * | 2013-07-01 | 2015-09-02 | 青岛海信网络科技股份有限公司 | The traffic signal control method that multiplexing electronic police mixed traffic flow detects and device |
| CN103383816A (en) * | 2013-07-01 | 2013-11-06 | 青岛海信网络科技股份有限公司 | Method and device for controlling traffic signals of multipurpose electronic police mixed traffic flow detection |
| CN103871259A (en) * | 2014-03-10 | 2014-06-18 | 烟台大学 | Centralized coordination type annunciator and crossing electronic policeman integrated system and traffic light control |
| CN105632196A (en) * | 2014-09-16 | 2016-06-01 | 赵菲菲 | Method and system for controlling traffic signal lamp in real time and intelligently |
| CN104485003A (en) * | 2014-12-18 | 2015-04-01 | 武汉大学 | Intelligent traffic signal control method based on pipeline model |
| CN107316469A (en) * | 2017-06-14 | 2017-11-03 | 苏州远征魂车船技术有限公司 | A kind of intelligent traffic system of traffic lights interval networking |
| CN107564300A (en) * | 2017-09-27 | 2018-01-09 | 安徽四创电子股份有限公司 | A kind of design method of the optimal traffic lights based on crossing video resource |
| CN108133594A (en) * | 2017-12-20 | 2018-06-08 | 安徽云森物联网科技有限公司 | A kind of vehicle recongnition technique of LORA modules |
| CN109410601A (en) * | 2018-12-04 | 2019-03-01 | 北京英泰智科技股份有限公司 | Method for controlling traffic signal lights, device, electronic equipment and storage medium |
| CN110599781A (en) * | 2019-09-23 | 2019-12-20 | 潍坊畅讯交通设施工程有限公司 | Traffic flow statistics and recognition system for intelligent city |
| 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 |
| CN112071093A (en) * | 2020-04-22 | 2020-12-11 | 义硕智能股份有限公司 | Control system and method for traffic signal lamp |
| US11776259B2 (en) | 2020-04-22 | 2023-10-03 | Pixord Corporation | Control system of traffic lights and method thereof |
| CN111768631A (en) * | 2020-06-05 | 2020-10-13 | 中冶南方城市建设工程技术有限公司 | Driving prompt device and method for underground garage |
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