Research on the Value Accessing Method for Calibrating Micro Traffic Simulation Model Parameters

doi:10.16182/j.issn1004731x.joss.19-FZ0313

Abstract

Abstract: Parameter calibration is the precondition of the application of micro traffic simulation technology. This study focuses on the value accessing method for parameter calibration in order to further improve the parameter calibration process. The analysis of the distribution characteristics of each parameter calibration results shows that the parameters have different trends in the process of gradual iteration, and there are multiple optimal solutions for the model parameter calibration results. In this paper, the dispersion is used as the quantitative analysis index of the concentration degree of each parameter calibration result, and the parameter value of the model is determined step by step from small to large according to the dispersion degree. Further simulation experiments show that the simulation effect of the proposed method is better than that of the traditional method and much better than the default parameter value.

Key words: microscopic traffic simulation, model parameter calibration, weaving segment, traffic engineering

CLC Number:

U491

Zhou Chenjing, Rong Jian, Kwok Lam For. Research on the Value Accessing Method for Calibrating Micro Traffic Simulation Model Parameters[J]. Journal of System Simulation, 2019, 31(12): 2802-2809.

References

[1] 王晓原, 杨新月, 张敬磊, 等. 交通流微观仿真与驾驶员行为建模理论及方法[M]. 北京: 科学出版社, 2010.
Wang Xiaoyuan, Yang Xinyue, Zhang Jinglei et al. Theory and method of traffic flow microsimulation and driver behavior modeling[M]. Beijing: Science Press, 2010.
[2] Benekohal R R.Procedure for Validation of Microscopic Traffic Flow Simulation Models[J]. Transportation Research Record: Journal of the Transportation Research Board (S0361-1981), 1911(1320): 190-202.
[3] 周晨静, 荣建, 陈春安. 面向微观交通仿真实验的模型参数敏感性分析方法[J]. 北京工业大学学报, 2016, 42(11): 1728-1733.
Zhou Chenjing, Rong Jian, Chen Chunan.Parameter Sensitivity Analysis Method for Microscopic Traffic Simulation Experiment[J]. Journal of Beijing University of Technology, 2016, 42(11): 1728-1733.
[4] Park B B, Won J.Microscopic Simulation Model Calibration and Validation Handbook[R]. Virginia Transportation Research Council, Charlottesville, Virginia, (FHWA/VTRC 07-CR6), 2006.
[5] Ma J T. Dong H, Zhang H M.Calibration of Micro Simulation with Heuristic Optimization Methods[J]. Transportation Research Record: Journal of the Transportation Research Board (S0361-1981), 2007(1999-1): 208-2171.
[6] Chitturi M V, Benekohal R F.Calibration of VISSIM for Freeways[C]. 87^th Transportation Research Board Annual Meeting CD-ROM. Washington, D.C.:Transportation Research Board, 2008.
[7] Menneni S, Sun C, Vortisch P.Microsimulation Calibration Using Speed-Flow Relationships[J]. Transportation Research Record: Journal of the Transportation Research Board (S0361-1981), 2008(2088-1): 1-9.
[8] 孙剑, 杨晓光, 刘好德. 微观交通仿真系统参数校正研究[J]. 系统仿真学报, 2007, 19(1): 48-50, 159.
Sun Jian, Yang Xiaoguang, Liu Haode.Study on Microscopic Traffic Simulation Model Systematic Parameter Calibration[J]. Journal of System Simulation, 2007, 19(1): 48-50, 159.
[9] 张清华. VISSIM微观交通仿真模型校正研究[D]. 北京: 北京交通大学, 2012.
Zhang Qinghua.VISSIM microscopic traffic simulation model correction research[D]. Beijing: Beijing Jiaotong University, 2012.
[10] 韩国华, 傅白白. 基于PSO算法的微观交通仿真模型参数标定[J]. 山东建筑大学学报, 2012(3): 272-275.
Han Guohua, Fu Baibai.Study on parameter calibration of microscopic traffic simulation model based on PSO algorithm[J]. Journal of Shandong Jianzhu University, 2012(3): 272-275.
[11] 唐少虎. VISSIM仿真参数自校正方法研究与实现[D].北京: 北方工业大学, 2013.
Tang Shaohu.Research and implementation of VISSIM simulation parameter self-calibration method[D]. Beijing: North China University of Technology, 2013.
[12] 唐少虎, 刘小明. 基于IAGSO算法的VISSIM模型校正研究与实现[J]. 交通运输系统工程与信息, 2014(5): 74-80.
Tang Shaohu, Liu Xiaoming.VISSIM Model Calibration Based on IAGSO Algorithm[J]. Journal of Transportation Systems Engineering and Information, 2014(5): 74-80.