CN104732779A - Traffic congestion dispersion method based on traffic signal controller and video monitoring linkage - Google Patents
Traffic congestion dispersion method based on traffic signal controller and video monitoring linkage Download PDFInfo
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- CN104732779A CN104732779A CN201510139659.XA CN201510139659A CN104732779A CN 104732779 A CN104732779 A CN 104732779A CN 201510139659 A CN201510139659 A CN 201510139659A CN 104732779 A CN104732779 A CN 104732779A
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- G—PHYSICS
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- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/07—Controlling traffic signals
- G08G1/08—Controlling traffic signals according to detected number or speed of vehicles
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Abstract
The invention provides a traffic congestion dispersion method based on the traffic signal controller and video monitoring linkage. The method includes the steps that a video recorder conducts real-time monitoring on a crossing and analyzes traffic flow information of all directions of the crossing so that whether congestion happens or not can be judged; the video recorder automatically generates scheme adjustment suggestions according to the congestion information of a certain direction, and the video recorder is then in communication with the traffic signal controller so that the renewing mode of configuration schemes of the traffic signal controller can be obtained; in the automatic mode, the video recorder sends the congestion information of the direction and the scheme adjustment suggestions to the traffic signal controller, and the traffic signal controller adjusts the current configuration scheme according to the integration result of the congestion information of all the directions and the scheme adjustment suggestions. By means of the video monitoring and traffic signal controller linkage, the traffic light release time of the traffic signal controller can be adjusted according to the real-time traffic flow information, the traffic pressure is greatly relieved, the utilization rate of existing resources is increased, and meanwhile the manual cost of traffic congestion dispersion is reduced.
Description
Technical field
The present invention relates to a kind of traffic congestion leading method linked based on traffic signaling equipment and video monitoring.
Background technology
Along with increasing of vehicle, on and off duty, period festivals or holidays every morning and evening, all can be very stifled on road, especially some turnpike roads, vehicle flowrate is large, and crossroad is many, and traffic is complicated incomparable, each crossroad apart from different, and also has many different from the vehicle flowrate of every bar road that turnpike road intersects.
Although present traffic signaling equipment can be accomplished to switch a multiple period in, each period can use different schemes, but the scheme of certain period is but fixing, the situation that vehicle flowrate changes greatly cannot be adapted to, when when a direction blocks up, another direction is smooth and easy, also automatically cannot adjust, not only cause the significant wastage of public traffic resource, and the quality time of a lot of car owner can be wasted.What is more, may have car owner's behavior of making a dash across the red light and occur.
And monitoring camera is installed to each crossing, the traffic picture at crossing can be passed back pulpit in real time, when pulpit staff finds that certain crossing gets congestion, can notify that traffic-police goes to relieve traffic congestion, but so just need a large amount of traffic-polices, make the cost increase relieved traffic congestion.
Existing most products is all both separately used substantially, and traffic signaling equipment controls the traffic lights of all directions, and the vehicle flowrate situation at video camera monitoring crossing, both there is no any common factor.But along with video, image processing algorithm increasingly mature, the speed goes of processor is fast, both is combined use, automatically judges congestion, and adjustment time of traffic lights has become a kind of trend in real time.
Summary of the invention
The object of the present invention is to provide a kind of completely newly, conveniently based on traffic signaling equipment and video monitoring interlock traffic congestion leading method, by traffic signaling equipment and video camera conbined usage, judged by the jam situation of video camera to current crossing, adjust allocation plan in real time by traffic signaling equipment, Current traffic enforcement of blocking up is dredged.
Technical scheme of the present invention is:
Based on the traffic congestion leading method that traffic signaling equipment and video monitoring link, comprise the following steps:
(1) video camera is monitored in real time crossing and is analyzed the information of vehicle flowrate of crossing all directions, when the length of tailback on certain direction or quantity are greater than predetermined threshold value, then judges that this direction gets congestion;
(2) video camera generates the project setting suggestion in this direction automatically according to the congestion information in this direction, and then obtain the generation patterns of traffic signaling equipment allocation plan with traffic signaling equipment communication, judgement is automatic mode or manual mode;
(3) if judging is automatic mode, then the congestion information in this direction and project setting suggestion are sent to traffic signaling equipment by video camera, and traffic signaling equipment adjusts current allocation plan after the congestion information of all directions and project setting suggestion being integrated again.
The described traffic congestion leading method linked based on traffic signaling equipment and video monitoring, in described step (2), if judging is manual mode, then performs following steps:
The congestion information in this direction and project setting suggestion are sent to control center by video camera, and control center advises adjusting the current allocation plan of traffic signaling equipment or not adopting project setting to advise and directly independently adjust the current allocation plan of traffic signaling equipment according to project setting.
The described traffic congestion leading method linked based on traffic signaling equipment and video monitoring, further comprising the steps of:
The phase information of its current allocation plan is sent to video camera by traffic signaling equipment in real time, the phase information that video camera is received is added in the corresponding frame of the video pictures of its shooting in real time, and then video is sent to control center in real time, control center adjusts the current allocation plan of traffic signaling equipment according to the information of vehicle flowrate in video and phase information.
The described traffic congestion leading method based on traffic signaling equipment and video monitoring interlock, is characterized in that, in described step (1), video camera every certain frame number or regular hour the information of vehicle flowrate to these crossing all directions analyze once.
As shown from the above technical solution, the present invention is not when increasing hardware resource, greatly improve the utilization factor of existing resource, video camera is not only just for monitoring, also for analyzing the real-time traffic flow amount information at crossing, judge whether road gets congestion, traffic signaling equipment does not also just perform according to set allocation plan, but according to the request that video camera returns, adjustment allocation plan is to alleviate traffic congestion in real time.Video monitoring and traffic signaling equipment interlock can be let pass the time according to the traffic lights of real-time information of vehicle flowrate adjustment traffic signaling equipment, greatly alleviate traffic pressure, improve the utilization factor of existing resource, again reduce the cost of labor that traffic congestion is dredged simultaneously.
Accompanying drawing explanation
Fig. 1 is the method flow diagram of the specific embodiment of the invention.
Embodiment
The present invention is further illustrated below in conjunction with the drawings and specific embodiments.
As shown in Figure 1, a kind of traffic congestion leading method linked based on traffic signaling equipment and video monitoring, comprises the following steps:
The phase information of its current allocation plan is sent to video camera by S1, traffic signaling equipment in real time, the phase information that video camera is received is added in real time in the mode of digital watermarking in the corresponding frame of the video pictures of its shooting, and then video is sent to control center in real time;
Control center adjusts the current allocation plan of traffic signaling equipment, as extended the green time in certain direction, the red time shortening certain direction etc. according to the information of vehicle flowrate in video and phase information.
S2, video camera are monitored in real time crossing and are analyzed the information of vehicle flowrate of crossing all directions, when the length of tailback on certain direction or quantity are greater than predetermined threshold value, then judge that this direction gets congestion;
Video camera is when taking, the vehicle flowrate on a monitored picture is just calculated every fixing frame number (being assumed to be N) or regular time (as 3 seconds), because current video, image processing algorithm are very ripe, result is more credible, when the vehicle fleet size in certain direction in video camera shooting picture or vehicle queue length reach predetermined threshold value, can judge that this direction gets congestion, need to dredge.
S3, video camera generate the project setting suggestion in this direction automatically according to the congestion information in this direction, and then obtain the generation patterns of traffic signaling equipment allocation plan with traffic signaling equipment communication, judgement is automatic mode or manual mode.
If it is automatic mode that S4 judges, then the congestion information in this direction and project setting suggestion are directly sent to traffic signaling equipment and do not need through control center by video camera, after traffic signaling equipment receives program adjustment suggestion, the congestion information in meeting other direction of active obtaining, then advise according to the project setting of all directions, integrate out a concrete Adjusted Option again, and current allocation plan is upgraded.
If it is manual mode that S5 judges, then the congestion information in this direction and project setting suggestion are sent to control center by video camera, the staff of control center manually can adjust the current allocation plan of traffic signaling equipment according to program adjustment suggestion, and the program also can not be adopted to adjust suggestion and directly independently adjust the current allocation plan of traffic signaling equipment.
From the above, adopt method of the present invention, staff can monitor the jam situation at crossing by the heart in the controlling, when the result that video camera obtains be do not block up time, any information can not be sent, traffic signaling equipment performs according to set allocation plan, and once video camera computing obtain vehicle fleet size on certain direction, crossing be greater than predetermined threshold value or etc. the vehicle queue length of red light be greater than predetermined threshold value, will assert that this direction there occurs and block up.If be manual mode current, project setting suggestion will be beamed back control center by video camera, is presented on real-time monitored picture, is adjusted by the staff of control center.If automatic mode, project setting suggestion directly will be sent back to traffic signaling equipment by video camera, and traffic signaling equipment considers the requirement of all directions, then makes concrete adjustment, in order to avoid there is the traffic of having dredged a direction, but cause the situation that other direction blocks up.
The present invention adjusts traffic signaling equipment allocation plan in real time according to the real-time condition of intersection vehicle flux, no longer need staff's arrival crossing to carry out scene to dredge, save manpower on the one hand, also make public transport resources obtain maximizing, the most effectively using on the other hand.
The above embodiment is only be described the preferred embodiment of the present invention; not scope of the present invention is limited; under not departing from the present invention and designing the prerequisite of spirit; the various distortion that those of ordinary skill in the art make technical scheme of the present invention and improvement, all should fall in protection domain that claims of the present invention determine.
Claims (4)
1., based on the traffic congestion leading method that traffic signaling equipment and video monitoring link, it is characterized in that, comprise the following steps:
(1) video camera is monitored in real time crossing and is analyzed the information of vehicle flowrate of crossing all directions, when the length of tailback on certain direction or quantity are greater than predetermined threshold value, then judges that this direction gets congestion;
(2) video camera generates the project setting suggestion in this direction automatically according to the congestion information in this direction, and then obtain the generation patterns of traffic signaling equipment allocation plan with traffic signaling equipment communication, judgement is automatic mode or manual mode;
(3) if judging is automatic mode, then the congestion information in this direction and project setting suggestion are sent to traffic signaling equipment by video camera, and traffic signaling equipment adjusts current allocation plan after the congestion information of all directions and project setting suggestion being integrated again.
2. the traffic congestion leading method linked based on traffic signaling equipment and video monitoring according to claim 1, is characterized in that, in described step (2), if judging is manual mode, then performs following steps:
The congestion information in this direction and project setting suggestion are sent to control center by video camera, and control center advises adjusting the current allocation plan of traffic signaling equipment or not adopting project setting to advise and directly independently adjust the current allocation plan of traffic signaling equipment according to project setting.
3. the traffic congestion leading method linked based on traffic signaling equipment and video monitoring according to claim 1 and 2, is characterized in that, further comprising the steps of:
The phase information of its current allocation plan is sent to video camera by traffic signaling equipment in real time, the phase information that video camera is received is added in the corresponding frame of the video pictures of its shooting in real time, and then video is sent to control center in real time, control center adjusts the current allocation plan of traffic signaling equipment according to the information of vehicle flowrate in video and phase information.
4. the traffic congestion leading method linked based on traffic signaling equipment and video monitoring according to claim 1, it is characterized in that, in described step (1), video camera every certain frame number or regular hour the information of vehicle flowrate to these crossing all directions analyze once.
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Cited By (17)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN106297328A (en) * | 2016-08-25 | 2017-01-04 | 深圳市元征科技股份有限公司 | A kind of method for controlling traffic signal lights and device |
| CN107170250A (en) * | 2017-07-06 | 2017-09-15 | 安徽超清科技股份有限公司 | A kind of smart city road instruction system |
| CN107180542A (en) * | 2017-07-14 | 2017-09-19 | 安徽智星交通科技股份有限公司 | Traffic control method, apparatus and system |
| CN108010342A (en) * | 2016-10-28 | 2018-05-08 | 英业达科技有限公司 | Switching system and method for traffic sign |
| CN108320538A (en) * | 2018-04-17 | 2018-07-24 | 济南浪潮高新科技投资发展有限公司 | A kind of intelligent traffic signal lamp control system and method based on mist calculate node |
| CN108389409A (en) * | 2018-05-03 | 2018-08-10 | 张梦雅 | Traffic route monitoring system and its monitoring method |
| CN108629971A (en) * | 2018-05-07 | 2018-10-09 | 青海千寻信息科技有限公司 | A kind of traffic lamp control method and best speed determine method |
| CN109712413A (en) * | 2019-01-29 | 2019-05-03 | 蚌埠学院 | The cross control of traffic and road control method and system for having automatic regulation function |
| CN109859475A (en) * | 2019-03-14 | 2019-06-07 | 江苏中设集团股份有限公司 | A kind of intersection signal control method based on DBSCAN Density Clustering, apparatus and system |
| CN110047280A (en) * | 2019-04-04 | 2019-07-23 | 广州中国科学院软件应用技术研究所 | A kind of intelligent Control System for Traffic Lights for supporting bus or train route to cooperate with |
| CN110598511A (en) * | 2018-06-13 | 2019-12-20 | 杭州海康威视数字技术股份有限公司 | Method, device, electronic equipment and system for detecting green light running event |
| CN111882889A (en) * | 2020-07-20 | 2020-11-03 | 王群力 | Intelligent traffic signal control system and method |
| CN113538943A (en) * | 2021-07-19 | 2021-10-22 | 昭通亮风台信息科技有限公司 | Traffic light control method and system |
| CN113869779A (en) * | 2021-10-13 | 2021-12-31 | 深圳联和智慧科技有限公司 | People flow monitoring method and system based on city management and cloud platform |
| CN114842659A (en) * | 2022-05-07 | 2022-08-02 | 青岛海信网络科技股份有限公司 | Traffic jam grooming method and device |
| CN116311918A (en) * | 2023-02-22 | 2023-06-23 | 深圳榕亨实业集团有限公司 | A control method for traffic signal control manual signal phase switching |
| CN116734883A (en) * | 2023-08-14 | 2023-09-12 | 名商科技有限公司 | Road congestion prediction and intelligent pilot system |
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| CN106297328A (en) * | 2016-08-25 | 2017-01-04 | 深圳市元征科技股份有限公司 | A kind of method for controlling traffic signal lights and device |
| CN108010342A (en) * | 2016-10-28 | 2018-05-08 | 英业达科技有限公司 | Switching system and method for traffic sign |
| CN107170250A (en) * | 2017-07-06 | 2017-09-15 | 安徽超清科技股份有限公司 | A kind of smart city road instruction system |
| CN107180542A (en) * | 2017-07-14 | 2017-09-19 | 安徽智星交通科技股份有限公司 | Traffic control method, apparatus and system |
| CN108320538A (en) * | 2018-04-17 | 2018-07-24 | 济南浪潮高新科技投资发展有限公司 | A kind of intelligent traffic signal lamp control system and method based on mist calculate node |
| CN108389409A (en) * | 2018-05-03 | 2018-08-10 | 张梦雅 | Traffic route monitoring system and its monitoring method |
| CN108629971A (en) * | 2018-05-07 | 2018-10-09 | 青海千寻信息科技有限公司 | A kind of traffic lamp control method and best speed determine method |
| CN108629971B (en) * | 2018-05-07 | 2021-07-02 | 青海千寻信息科技有限公司 | Traffic light control method and optimal vehicle speed determination method |
| CN110598511A (en) * | 2018-06-13 | 2019-12-20 | 杭州海康威视数字技术股份有限公司 | Method, device, electronic equipment and system for detecting green light running event |
| CN109712413B (en) * | 2019-01-29 | 2021-06-25 | 蚌埠学院 | Cross road traffic management control method and system with automatic adjustment function |
| CN109712413A (en) * | 2019-01-29 | 2019-05-03 | 蚌埠学院 | The cross control of traffic and road control method and system for having automatic regulation function |
| CN109859475A (en) * | 2019-03-14 | 2019-06-07 | 江苏中设集团股份有限公司 | A kind of intersection signal control method based on DBSCAN Density Clustering, apparatus and system |
| CN110047280A (en) * | 2019-04-04 | 2019-07-23 | 广州中国科学院软件应用技术研究所 | A kind of intelligent Control System for Traffic Lights for supporting bus or train route to cooperate with |
| CN111882889A (en) * | 2020-07-20 | 2020-11-03 | 王群力 | Intelligent traffic signal control system and method |
| CN113538943A (en) * | 2021-07-19 | 2021-10-22 | 昭通亮风台信息科技有限公司 | Traffic light control method and system |
| CN113869779A (en) * | 2021-10-13 | 2021-12-31 | 深圳联和智慧科技有限公司 | People flow monitoring method and system based on city management and cloud platform |
| CN113869779B (en) * | 2021-10-13 | 2023-06-13 | 深圳联和智慧科技有限公司 | Urban management-based people stream monitoring method, system and cloud platform |
| CN114842659A (en) * | 2022-05-07 | 2022-08-02 | 青岛海信网络科技股份有限公司 | Traffic jam grooming method and device |
| CN114842659B (en) * | 2022-05-07 | 2023-08-04 | 青岛海信网络科技股份有限公司 | Traffic jam dredging method and device |
| CN116311918A (en) * | 2023-02-22 | 2023-06-23 | 深圳榕亨实业集团有限公司 | A control method for traffic signal control manual signal phase switching |
| CN116311918B (en) * | 2023-02-22 | 2025-10-03 | 深圳榕亨实业集团有限公司 | A control method for manual signal phase switching of traffic signal control |
| CN116734883A (en) * | 2023-08-14 | 2023-09-12 | 名商科技有限公司 | Road congestion prediction and intelligent pilot system |
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Denomination of invention: Traffic congestion clearing method based on the linkage of traffic signal and video monitoring Effective date of registration: 20220726 Granted publication date: 20170510 Pledgee: China Construction Bank Hefei Zhonglou sub branch Pledgor: ANHUI KELI INFORMATION INDUSTRY Co.,Ltd. Registration number: Y2022980011222 |