System Development & Application
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1790-1795

Research on traffic simulation model correction based on parameter sensitivity analysis

Zhang Jianxu
Wang Xueqin
College of Traffic & Transportation, Chongqing Jiaotong University, Chongqing 400074, China

Abstract

In order to carry out the correction work of traffic simulation model more efficiently, this paper proposed a model correction framework based on parameter sensitivity analysis. The method simplified the model by exploring the key parameters that affected the model accuracy through sensitivity analysis, and corrected the model with the usage of the calibrated key parameters. To justify this, the paper analyzed the car following model and lane changing model under the simulation condition of urban expressway weaving area. Firstly, it obtained the value of model parameters under different traffic flow levels through a large number of simulation experiments. Secondly, this paper formulated the interval division rules and cross combination rules of model parameters to improve LH-OAT algorithm and genetic algorithm(GA). Then, it used the improved LH-OAT algorithm(ILH-OAT) and GA algorithm to analyze the sensitivity of the model parameters and used GA to calibrate the key parameters. Finally, this paper checked the error of the simulation results according to the verification index. The results show that the combination of ILH-OAT and GA simplifies the simulation model and reduces the simulation operation cost. Besides, it also adds verisimilitude to the simulation on reflecting real traffic operation.

Foundation Support

科技助力经济2020重点专项(SQ2020YFF0418521)
中央引导地方科技发展专项(CSTC2020JSCX-DXWTB0003)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.11.0593
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 6
Section: System Development & Application
Pages: 1790-1795
Serial Number: 1001-3695(2022)06-032-1790-06

Publish History

[2022-01-10] Accepted Paper
[2022-06-05] Printed Article

Cite This Article

张建旭, 王雪芹. 基于参数灵敏度分析的交通仿真模型校正研究 [J]. 计算机应用研究, 2022, 39 (6): 1790-1795. (Zhang Jianxu, Wang Xueqin. Research on traffic simulation model correction based on parameter sensitivity analysis [J]. Application Research of Computers, 2022, 39 (6): 1790-1795. )

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.

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