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The Research On Arterial Signal Control Method Based On Cooperative Vehicle Infrastructure Environment

Posted on:2019-10-11Degree:MasterType:Thesis
Country:ChinaCandidate:Z B GaoFull Text:PDF
GTID:2382330572495082Subject:Transportation planning and management
Abstract/Summary:PDF Full Text Request
With the rapid development of China's economy and the acceleration of urbanization,vehicle amount and traffic volume increased drastically,however,the construction of transportation infrastructure is far behind the increasing demand for transportation.The contradiction between supply and demand is becoming sharper,which leads to a series of common problems facing all countries around the world,including traffic congestion,environmental pollution,frequent accidents and energy waste.As a frontier technology in the field of intelligent transportation,cooperative vehicle infrastructure system technology is one of the practical methods to solve the problem of urban traffic congestion,and has won considerable attention from traffic researchers and managers.Based on advanced wireless communications,sensors,data fusion technology,cooperative vehicle infrastructure system technology carries out the cooperative management and active control of road traffic flow through comprehensive implementation of dynamic real-time information exchange,thus improving the utilization of road resources,improving traffic safety and alleviating traffic congestion.Urban arterial traffic network is the backbone of urban traffic,which bears enormous traffic and is also the main source of traffic congestion.Therefore,it is of great significance to improve the coordination of urban arterial roads to improve the traffic network condition of the whole city.Developing the arterial intersection signal coordination control technology under cooperated vehicle infrastructure environment is not only beneficial to improve the efficiency of the urban traffic and safety but is also conducive to the research and promotion of unmanned vehicle technology.In this paper,the influencing factors and control strategies of the existing coordination effect are discussed,and the signal control method of arterial road signal under cooperative vehicle infrastructure environment are studied with emphasis.Firstly,the paper summarizes the current development status of domestic and foreign vehicle-road collaborative technology as well as the pros and cons of the arterial roads signal coordination control method.The theoretical system of arterial road signal coordination control strategy is introduced,which contains the control parameters,evaluation indexes and influencing factors.The adaptive analysis of the maximum green wave bandwidth model and the minimum delay model is presented.This paper introduces the basic framework of traffic signal control system cooperative vehicle infrastructure environment and puts forward the cooperative optimization model of single point intersection under the cooperative environment.On this basis,the traditional MultiBand model is improved,and the empty intersection reliability theory is introduced to establish a hierarchical coordination control framework,and the signal timing and speed guide module within the frame are studied emphatically.An integrated optimization control model of Dynamic Speed Guidance and Dynamic Signal Timing(DSDS)is presented.Using the simulation software VISSIM,COM interface technology and MATLAB programming environment to build the car road collaborative environment of urban arterial signal coordination control test platform,and the traffic information collection,guide and signal timing module were described in detail.Finally,six consecutive intersection of Wuyi road Changsha were taken as research examples in a simulation experiment to verify the availability of the presented model.Besides,sensitivity analysis was performed on parameters like,the degree of maximum speed limit road,vehicle market penetration and recommended speed compliance rate.
Keywords/Search Tags:Cooperative Vehicle Infrastructure, Signal coordination, DSDS Model, Speed Guidance, Delay
PDF Full Text Request
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