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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 10
3003-3007

Research on multi-objective cooperative optimization model for adjacent intersections of trunk roads under V2X environment

Zhao Hongzhuan1,2
Wu Hao1
Lu Ningning1
Zhan Xin2
Gu Guobin1
Wang Tao1
1. School of Architecture & Transportation Engineering, Guilin University of Electronic Technology, Guilin Guangxi 541004, China
2. Dong Feng Liuzhou Automobile Co. , Ltd. , Liuzhou Guangxi 545000, China
DOI: 10.19734/j.issn.1001-3695.2022.03.0140

Abstract

The problem of ineffective coordination between adjacent intersections of urban trunk roads due to the lack of information interaction, which leads to inefficient operation of trunk roads, this paper proposed a multi-objective collaborative optimization model of adjacent intersections of urban trunk roads under V2X environment. The entry point was to obtain traffic volume and speed characteristics in real-time with V2X technology. This paper took the traffic load as the key parameter, weighting measurement based on different lane functions. At the same time, this paper introduced comfort and travel time as the synergistic regional optimization parameters, and used their weighted amounts as the comprehensive evaluation indexes of the model. Then it constructed a multi-objective collaborative optimization model for adjacent intersections of urban trunk roads. Finally, in order to verify the effectiveness of the model, using the NSGA-Ⅱ algorithm simulated the examples to obtain the Pareto frontier of the optimization objective. The analysis results show that the combined traffic load of key areas is reduced by about 19.9%, and the speed variation rate of synergistic regional trunk road traffic is reduced by about 28.37% and the travel time is reduced by about 3.46%, which can effectively improve the efficiency of urban trunk road traffic.

Foundation Support

广西重点研发计划项目(桂科AB21220052)
广西科技重大专项(桂科AA22068101)
柳州市重大专项(2021CAA0101)
桂林电子科技大学研究生教育创新计划资助项目(2021YCXS178)
桂林市创新平台和人才计划项目(20210217-15)
广西可信软件重点实验室研究课题资助项目(Kx202023)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.03.0140
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 10
Section: Algorithm Research & Explore
Pages: 3003-3007
Serial Number: 1001-3695(2022)10-018-3003-05

Publish History

[2022-06-02] Accepted Paper
[2022-10-05] Printed Article

Cite This Article

赵红专, 吴浩, 卢宁宁, 等. V2X环境下主干路相邻交叉口多目标协同优化模型研究 [J]. 计算机应用研究, 2022, 39 (10): 3003-3007. (Zhao Hongzhuan, Wu Hao, Lu Ningning, et al. Research on multi-objective cooperative optimization model for adjacent intersections of trunk roads under V2X environment [J]. Application Research of Computers, 2022, 39 (10): 3003-3007. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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