CN106710253A - High-reliability intelligent intersection traffic control system and control method - Google Patents

High-reliability intelligent intersection traffic control system and control method Download PDF

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Publication number
CN106710253A
CN106710253A CN201710142225.4A CN201710142225A CN106710253A CN 106710253 A CN106710253 A CN 106710253A CN 201710142225 A CN201710142225 A CN 201710142225A CN 106710253 A CN106710253 A CN 106710253A
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module
road
video
control system
traffic control
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CN106710253B (en
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李潍
莫凌飞
许强
张翔宇
李建清
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Southeast University
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Southeast University
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    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/07Controlling traffic signals
    • G08G1/08Controlling traffic signals according to detected number or speed of vehicles
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/097Supervising of traffic control systems, e.g. by giving an alarm if two crossing streets have green light simultaneously

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Traffic Control Systems (AREA)

Abstract

The invention discloses a high-reliability intelligent intersection traffic control system and control method. The control system comprises a video acquisition module, a central processing module and an execution module; the video acquisition module comprises a camera and relevant software thereof, and the central processing module is an industrial control computer and is characterized by comprising a self-diagnosis program, an SDK (Software Development Kit) interface, an image processing program, a storage module and a communication module. The execution module is a signal lamp, and completes intersection traffic control. The high-reliability intelligent intersection traffic control system is designed with high reliability based on a wiring scheme, a system composition, a storage scheme, image processing and other like aspects.

Description

A kind of High reliable intelligent crossing traffic control system and control method
Technical field
The present invention relates to crossing traffic control system, more particularly to a kind of high reliability Intelligent crossing traffic control system And control method.
Background technology
With the continuous social and economic development, the demand of communications and transportation is growing day by day, and economic development is increasingly dependent on friendship Logical transport.The problems such as time, the energy, environment and traffic accident produced by traffic congestion, causes heavy losses to society.Hand over Logical transport control is the critical path for increasing substantially traffic transportation efficiency, in recent years by the extensive concern of various circles of society.Intelligence Energy traffic control system is that the new and high technologies such as comprehensive utilization information technology, the communication technology, automatic control technology are carried out to the network of communication lines The system of optimal control, it is a kind of cost-effective scheme for solving traffic jam issue, is in particular in reduction waste gas row Put, traffic time delay, the aspect such as stop frequency.
Patent CN201520745779.X discloses a kind of intersection traffic control system.System is broadly divided into three portions Point, data pre-processing and memory, central controller, cloud server.Data pre-processing and memory portion are by infrared spy Survey device detecting pedestrian, high-definition camera detection special car, magnetic-field Sensor for Traffic Counting detection vehicle flowrate.Central control machine device is responsible for control Traffic lights processed, and the stream of people at the crossing, car flow information are transmitted to cloud server, and by roadblock lowering or hoisting gear, throw The device additional transports such as image device, background sound player are controlled.
The shortcoming of the patent needs multiple sensors for system, and higher to the precision and stability requirement of sensor, into This height, it is not thorough enough to consider the problems such as to EMS memory occupation, fault rate.The huge screen imaging of projection arrangement, background sound player device Although function can play warning function to the uncivil behavior such as make a dash across the red light, surrounding enviroment can be produced simultaneously noise pollution and Light pollution, and may diverging traffic participant notice, cause potential safety hazard.
Patent CN200710165002.6 discloses a kind of intelligent traffic control system of control access connection traffic flow.System bag Include traffic signal controlling machine, central computer, ethernet communication system, belisha beacon and relevant device.By electronic eyes, car Test examination instrument etc. gather telecommunication flow information, ICP/IP protocol is realized by PIC controller, by car flow information by Ethernet transmit to Regional center, carries out regional traffic and coordinates control.And certain consideration has been carried out to system reliability, increased CPU exceptions Reason and green signal analysis function, and security personnel's control circuit is employed, when master control borad breaks down, worked instead of master control borad.
The shortcoming of the patent is completed for collection car flow information by car test equipment and electronic eyes etc., and hardware components are more, are System is complicated, and only the reliability to master control borad is analyzed, to the reliability consideration deficiency of other parts of system.
Above patent to the reliability of intelligent traffic control system in terms of consideration it is not enough, intelligent traffic control system exists Long-time non-stop run is generally needed in practical application, and ensures that system operation is smooth by certain measure, calculate knot Fruit is accurate.The system for working long hours is needed for one, how to ensure that the stability and reliability of system are particularly important.It is existing The intelligent traffic control system for using lacks to the design of its reliability, it is impossible to meet that modern society is quick to traffic circulation, peace Entirely, efficient demand.
The content of the invention
Technical problem:The invention provides the intelligent traffic control system and control method of a kind of high reliability.
Technical scheme:A kind of High reliable intelligent crossing traffic control system of the invention, including be used for based on camera Road pavement carries out the video acquisition module of uninterrupted real-time monitoring, completion in 24 hours to the judgement of congestion in road situation and to green light The central processing module of duration control and the performing module for completing to control wagon flow based on signal lamp, the central processing module bag Realization is included to the self diagnosis module of the real time fail monitoring of video acquisition module, central processing module and performing module, for connecing The SDK interfaces for receiving the data of video acquisition module collection, the image procossing mould for realizing to extraction and the identification of road main information Communication between block, memory module and each module of completion, and completed and attendant when self diagnosis module failure judgement occurs Communication communication module.
Further, the central processing module is based on operating mode machine, and the video acquisition module and central processing module pass through Twisted pair line connection, walks light current industrial siding groove.
The invention also discloses a kind of control method of High reliable intelligent crossing traffic control system, including following step Suddenly:
A. obtained without bus or train route face picture by camera, as initial background;
B. the video acquisition module based on camera carries out round-the-clock monitoring to road, and the video information that will be collected passes through Double-strand transmission to the central processing module based on industrial computer, industrial computer connects camera by SDK interfaces, in system work During, just receive video flowing again every setting time, filename is updated, the storage of file is carried out side by side and is read, storage At the beginning of between than read at the beginning of between in advance;
C. image procossing, the interference of environmental factor is eliminated using the main information of frame of video segmentation extraction road, is used Principal Component Analysis Algorithm processes frame of video, obtains the main information of road and compared with the initial background of step a, and calculating is engaged in this profession Road vehicles density, sets suitable traffic lights duration accordingly, subsequently determines whether whether red light closes to an end, and will newly be set if terminating Traffic lights duration send to signal lamp, otherwise skip to and judge road main information whether close to initial background flow;
D. judge that whether the road information obtained after Principal Component Analysis Algorithm treatment, close to initial background, is carried out if if Context update, if keeping off, skips to industrial computer by being started the cycle at SDK interface video flowings.
Beneficial effect:The present invention proposes the real-time control that carried out to traffic of the invention and is conducive to alleviating traffic congestion, reduces Waste gas discharge, reduces traffic accident, increases the operational efficiency of transportation network.Realize on the basis of existing road, improve traffic control System and the level of management, the existing means of transportation of reasonable employment give full play to its ability.
Compared with prior art, present system simple structure, easy to maintenance, man-machine interaction is friendly.By camera with Image processing techniques based on advanced intelligent algorithm completes the detection to wagon flow, reduces the use of hardware, simplifies system knot Structure, not only realizes the function of traditional intelligence traffic control system, and improvement is realized in terms of system reliability.Common intelligence Can traffic control system when each module twisted-pair feeder is attached, because the factor such as outdoor environment and twisted-pair feeder characteristic is caused far Easily there is wrong data in journey transmitting procedure, influences the work of system.Cabling scenario of the present invention can significantly be alleviated Above-mentioned deficiency.The system carries self-diagnostic function, realizes the real time fail monitoring to each module.Called in internal memory, reading manner Etc. being optimized in storage scheme, image processing program solves frame of video and obscures, the problems such as environmental disturbances.The present invention from Upper various aspects strengthen the reliability of system, the combination property of the system of raising, it is ensured that the safety of traffic control system is steady Fixed operation.
Brief description of the drawings
Fig. 1 is system structure diagram of the invention;
Fig. 2 is system reliability schematic diagram of the invention;
Fig. 3 is that frame of video of the invention splits schematic diagram;
Fig. 4 is working-flow figure of the invention.
Specific embodiment
A kind of High reliable intelligent traffic control system as shown in Figure 1 include video acquisition module, central processing module, Performing module;The video acquisition module includes camera and corresponding software program, and road pavement carries out 24 hours continual realities When monitor;The central processing module is realized by industrial computer, with self diagnosis journey module, SDK interfaces, image processing module, storage Module and communication module, complete the judgement to congestion in road situation and the control to long green light time;The performing module is believed for traffic Signal lamp, completes the control to wagon flow, the data that central processing module is gathered by SDK interfaces video acquisition module.
The camera and industrial computer, signal lamp of the present embodiment use 220V AC-powereds.The video of the present embodiment is adopted Collection module and central processing module, according to forceful electric power and interference source is avoided, walk light current industrial siding groove, cloth line length by twisted pair line connection Degree is no more than 100 meters as far as possible, and the principle wiring of twisted-pair cable video transmission equipment is set up during more than 300 meters.
The self diagnosis module of the present embodiment realize to video acquisition module, central processing module, performing module real-time therefore Barrier monitoring.
The central processing module of the present embodiment is using the memory module for optimizing storage program;It is right that the optimization storage program is realized The optimization that Installed System Memory is called, applies for the good required memory headroom for taking, in cyclic process thereafter before system circulation Do not apply for new memory headroom, need the picture of storage to pass through the mechanism for newly scheming to substitute artwork per circulation primary in comparison procedure Stored, identical mechanism is also used for context update process, it is ensured that system elapses the shared internal memory of its operation over time Space is almost unchanged.
The memory module that optimization storage program is provided with the present embodiment realizes that storage shifts to an earlier date a bit of time than reading Function, system work is smooth when ensureing reading.To shift to an earlier date as a example by 50 milliseconds, specific code is as follows:
Above-mentioned memory module accelerates video reading speed, in information process, often through just updating one after a while Secondary storage file, stores again, so ensure every time read video size it is suitable, it is to avoid video it is excessive reduce reading efficiency with And the situation of the system crash being likely to occur.It is as follows that it implements process, and industrial computer connects camera by SDK, in system In the course of work, just receive video flowing again every 5 minutes, update filename.
The central processing module of the present embodiment uses image processing module;The image processing module is realized mainly believing road The extraction and identification of breath.
The image processing module reduces intensity of illumination, and building effects, trees the external environmental factor such as rock to system Influence.If frame of video is divided into stem portion again, road picture is divided into several parts using ROI instruments, by comparing Main information in road obtains present road traffic density, without relatively more whole monitored picture, internal memory is accounted for reducing With.For the loss that the road pavement information for cropping is caused, compensated by increasing interception square frame number.
The image processing module realizes that frame of video judges optimization, for asking for the unintelligible influence judging nicety rate of frame of video Topic, system in deterministic process, the method using repeatedly judging to ask for average.It it is 25 frames/second in camera collection video frame rate In the case of, the time interval very little between adjacent two field pictures, the change of road vehicle density can be neglected in this time interval Slightly disregard, the comparing successively using adjacent several two field pictures when relatively, exclude the interference of abnormal results, calculate the equal of normal outcome Value.
The image processing program, self-diagnostic program, optimization storage program of the present embodiment are using C Plus Plus in vs2013 environment Lower combination openCV is programmed and run.
The communication module completes the communication between each module, and is completed when self-diagnostic program failure judgement occurs and safeguarded The communication of personnel.
The present embodiment includes following components to system reliability design:System architecture is simple, optimization cabling scenario, base Image processing techniques in image processing module, the optimization storage scheme based on memory module, the autodiagnosis based on self diagnosis module Disconnected program.Compared to other intelligent traffic control systems, the data of the present embodiment are only gathered by camera, are processed by industrial computer Data, with good man-machine interaction, and safeguard simple and convenient.Cabling scenario considers the interference problem and biography of external environment Influence of the defeated distance to data acquisition, improves the reliability of data transfer.Using image processing techniques, camera is collected Data carry out de-noising, extract main information, reduce data that camera gathered fuzzy or be disturbed larger to follow-up The influence for the treatment of.The scheme of data storage is optimized, shifting to an earlier date the method that a bit of time starts than reading process using storage increases Fluency, the stability of reading process are added, the use of internal memory have been saved using the mechanism of new data covering legacy data, alleviated Hardware burden.Using self-diagnostic program, the software and hardware to industrial computer, camera, signal lamp is monitored, if failure occurs, Then common cycle traffic light signal is sent to signal lamp and calling IP phone and is alarmed to attendant.
As shown in figure 3, be directed to intensity of illumination, building effects, trees rock wait outside environmental elements interference problem, general If frame of video is divided into stem portion (dotted line is represented) again, road picture (solid line is represented) is divided into using ROI instruments several Part, obtains present road traffic density, for the road pavement information for cropping by comparing the main information in road The loss for causing, is compensated by increasing interception square frame number.
As shown in figure 4, the workflow of the intelligent traffic control system is as follows:
Obtained without bus or train route face picture by camera first, as initial background, hereafter, the video acquisition based on camera Module carries out round-the-clock monitoring to road, and the video information that will be collected is by twisted-pair feeder (by cabling scenario as previously described Wiring) transmit to the central processing module based on industrial computer.Industrial computer connects camera by SDK interfaces, worked in system Cheng Zhong, video flowing was just received every 5 minutes again, updated filename.The reading that is stored in of file, the beginning of storage are carried out side by side 50 milliseconds in advance between at the beginning of time ratio reading.Image procossing is carried out, the main information for extracting road is split using frame of video To eliminate the interference of environmental factor, judge that optimized algorithm is processed frame of video using frame of video, use principal component analysis (PCA) algorithm process frame of video, obtains the main information of road and compared with initial background, calculates road vehicle density, Suitable traffic lights duration is set accordingly, subsequently determines whether whether red light closes to an end, when if terminating by newly-installed traffic lights Whether long hair delivers to signal lamp, otherwise skip to and judge road main information close to initial background flow.Explanation is needed exist for, Due to the influence of the factors such as illumination, background must update once at regular intervals.Judge the road information obtained after PCA treatment Whether close to initial background, if context update is carried out if, if keeping off, skip to industrial computer and regarded by SDK interfaces Started the cycle at frequency stream.

Claims (7)

1. a kind of High reliable intelligent crossing traffic control system, including between carrying out 24 hours not for road pavement based on camera The judgement of video acquisition module, completion to congestion in road situation of disconnected real-time monitoring and the center treatment mould to long green light time control Block and the performing module for completing to control wagon flow based on signal lamp, it is characterised in that:The central processing module is right including realizing Video acquisition module, central processing module and performing module real time fail monitoring self diagnosis module, adopted for receiving video Image processing module, storage mould of the SDK interface, realization of the data of collection module collection to extraction and the identification of road main information Communication between block and each module of completion, and completed when self diagnosis module failure judgement occurs logical with the communication of attendant News module.
2. a kind of High reliable intelligent crossing traffic control system according to claim 1, it is characterised in that:The center Processing module is based on operating mode machine, and the video acquisition module and central processing module walk light current industrial siding groove by twisted pair line connection.
3. a kind of control method of the High reliable intelligent crossing traffic control system described in claim 2 is realized, its feature exists In:Comprise the following steps:
A. obtained without bus or train route face picture by camera, as initial background;
B. the video acquisition module based on camera carries out round-the-clock monitoring to road, and the video information that will be collected passes through multiple twin Line is transmitted to the central processing module based on industrial computer, and the industrial computer connects camera by SDK interfaces, in system work process In, just receive video flowing again every setting time, filename is updated, the storage of file is carried out side by side and read, storage is opened Between at the beginning of the ratio reading of time beginning in advance;
C. image procossing, is split using frame of video and extracts the main information of road and eliminate the interference of environmental factor, using it is main into Divide parser treatment frame of video, obtain the main information of road and compared with the initial background of step a, calculate terrain vehicle Density, sets suitable traffic lights duration accordingly, subsequently determines whether whether red light closes to an end, will be newly-installed red if terminating Whether long green light time is sent to signal lamp, otherwise skip to and judge road main information close to initial background flow;
D. judge that whether the road information obtained after Principal Component Analysis Algorithm treatment, close to initial background, background is carried out if close Update, if keeping off, skip to industrial computer by being started the cycle at SDK interface video flowings.
4. a kind of control method of High reliable intelligent crossing traffic control system according to claim 3, its feature exists In:Initial background in the step a need to update once at regular intervals.
5. a kind of control method of High reliable intelligent crossing traffic control system according to claim 3, its feature exists In:File storage in the step b is provided with the memory module of optimization storage program with the realization read based in, and it is specially The mechanism for needing the picture of storage to pass through newly to scheme to substitute artwork per circulation primary is stored.
6. a kind of control method of High reliable intelligent crossing traffic control system according to claim 3, its feature exists In:The image procossing of the step c specifically includes following steps:
If C1, frame of video is divided into stem portion again, present road vehicle is obtained by comparing the main information in road Density;
The loss that C2, the road pavement information for cropping are caused, is compensated by increasing interception square frame number.
7. a kind of control method of High reliable intelligent crossing traffic control system according to claim 6, its feature exists In:The step c also includes step C3, the problem for the unintelligible influence judging nicety rate of frame of video, in deterministic process, adopts Method with repeatedly judging to ask for average:Using comparing successively for adjacent several two field pictures, the average of calculating.
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Cited By (4)

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Publication number Priority date Publication date Assignee Title
CN109615877A (en) * 2018-12-24 2019-04-12 中国船舶重工集团公司第七0研究所 A kind of compensation method of traffic light intersection wagon detector failure
CN110371279A (en) * 2019-06-03 2019-10-25 中国水产科学研究院南海水产研究所 A kind of fishing ground trapping information collecting device
CN110491146A (en) * 2019-08-21 2019-11-22 浙江工业大学 A kind of traffic signal control scheme real-time recommendation method based on deep learning
CN114038188A (en) * 2021-11-03 2022-02-11 江苏航天大为科技股份有限公司 Coordination self-adaptive control algorithm under road vehicle interference

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CN204990721U (en) * 2015-08-31 2016-01-20 成都众孚理想科技有限公司 But intelligent traffic monitoring system of automatic brake car
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Publication number Priority date Publication date Assignee Title
CN101470955A (en) * 2007-12-26 2009-07-01 奥城同立科技开发(北京)有限公司 Integrated control system for road junction traffic
CN103971532A (en) * 2013-02-04 2014-08-06 北京桓润世嘉科技有限公司 Signal detection and control equipment and traffic signal failure automatic inspection system
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Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109615877A (en) * 2018-12-24 2019-04-12 中国船舶重工集团公司第七0研究所 A kind of compensation method of traffic light intersection wagon detector failure
CN110371279A (en) * 2019-06-03 2019-10-25 中国水产科学研究院南海水产研究所 A kind of fishing ground trapping information collecting device
CN110491146A (en) * 2019-08-21 2019-11-22 浙江工业大学 A kind of traffic signal control scheme real-time recommendation method based on deep learning
CN114038188A (en) * 2021-11-03 2022-02-11 江苏航天大为科技股份有限公司 Coordination self-adaptive control algorithm under road vehicle interference

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