Font Size: a A A

Research And Application Of Green Wave Coordinated Control Algorithm For Urban Artery Traffic Signal

Posted on:2018-09-14Degree:MasterType:Thesis
Country:ChinaCandidate:D Y ZhengFull Text:PDF
GTID:2322330536484768Subject:Computer application technology
Abstract/Summary:PDF Full Text Request
Artery,as the main road of urban traffic,takes most of the traffic load in urban traffic.The capacity of the artery,to a certain extent,determines the traffic situation of the whole city.Therefore,it is very important to effectively alleviate the traffic pressure by optimizing the artery green wave coordinated control algorithm.However,most of the theoretical research on the artery green wave coordinated control is based on the optimization algorithm of the maximum green wave bandwidth,and the number of vehicles that can pass through the system is not necessarily the most,so most of the artery green wave coordination control system is not effective in our country.Therefore,this paper took the artery traffic as the research object and proposes a green wave coordinated control algorithm with the maximum system passing traffic.First of all,this paper,based on the theoretical research and practical application of the artery green wave coordinated control and the basic theory of urban traffic signal control,analyzed the basic principles and characteristics of the artery green wave coordinated control and studied the basic optimization algorithm of the main parameters(common cycle,green ratio,offset)involved in green wave control.Secondly,aiming at the limitation of the basic artery green wave coordination control algorithm with the maximum green wave bandwidth,a control target which could adjust the up and down direction weight of the coordination phase but the maximum system passing traffic was proposed.Combining the artery green wave coordination control principle,a the green wave coordination control bandwidth solving model was established,which took into account the accumulation and dissipation of queuing vehicles during the red light signal,and used the control target and the green wave bandwidth solving model proposed in this paper to optimize the offset of the basic green wave control algorithm by the genetic algorithm.Then,this paper applied the artery green wave coordination control algorithm with the the maximum system passing traffic proposed in this paper to the laboratory project---a city signal control platform.Then the artery green wave coordinated control system was designed and implemented,the parameters such as the offset optimized by the algorithm proposed in this paper could be calculated by inputting the relevant parameters,so,the green wave coordination control of many intersection signal machines on the artery could be realized.Finally,due to the limitation of the hardware equipment,the VISSIM micro-traffic simulation software was used to simulate the basic green wave control algorithm and the artery green wave control algorithm with the maximum system passing traffic proposed in this paper,and the evaluation parameters such as the number of passing vehicles,the number of stops and the delay time were compared and analyzed in detail.The result showed,in the same traffic conditions,the artery green wave coordinated control algorithm with the maximum system passing traffic proposed in this paper could make the total number of passing vehicles in the system green wave bandwidth obviously increased,besides,the number of stops and delay time were optimized to a certain extent,which verified the validity and the practicability of the green wave optimization algorithm proposed in this paper.In summary,the research of this paper has a great theoretical significance on the urban artery traffic signal green wave coordinated control.At the same time,the algorithm proposed in this paper has been applied to the laboratory project,which also can effectively solve the problem of practical urban traffic signal control.
Keywords/Search Tags:Traffic management, Green wave coordinated control, Passing traffic, Queuing vehicle dissipation, Genetic algorithm
PDF Full Text Request
Related items