微观交通仿真模型参数标定结果取值方法研究

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

系统仿真学报 ›› 2019, Vol. 31 ›› Issue (12): 2802-2809.doi: 10.16182/j.issn1004731x.joss.19-FZ0313

微观交通仿真模型参数标定结果取值方法研究

周晨静¹, 荣建², 郭琳科³

1. 北京建筑大学,北京 102616;
2. 北京交通工程学会/北京工业大学,北京 100124;
3. 香港城市大学,香港 611130

收稿日期:2019-05-15 修回日期:2019-07-12 发布日期:2019-12-13
作者简介:周晨静(1987-),男,河南安阳,博士,讲师,研究方向为道路通行能力。
基金资助:
国家自然科学基金青年基金项目（5170080357）

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

Zhou Chenjing¹, Rong Jian², Kwok Lam For³

1. Beijing University of Civil Engineering and Architecture, Beijing 102616, China;
2. Beijing University of Technology, Beijing 100124, China;
3. City University of Hong Kong, Hongkong 611130, China

Received:2019-05-15 Revised:2019-07-12 Published:2019-12-13

摘要/Abstract

摘要： 微观交通仿真模型参数标定是微观交通仿真技术应用的前提,研究聚焦微观仿真模型参数取值方法以期进一步完善微观仿真模型参数标定流程。微观仿真模型参数标定实验表明模型参数标定结果存在多组最优解且各参数分布函数存在明显差异。研究以收敛性优先的原则,提出以分散度作为各参数标定结果集中程度的量化分析指标,并按照分散度由小到大逐步确定模型参数取值。进一步仿真实验证实所提出模型参数取值方法得到的仿真效果优于传统取值得到的模型参数值,更优于默认参数值。

关键词: 微观交通仿真, 模型参数标定, 交织区, 交通工程

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

中图分类号:

U491

周晨静, 荣建, 郭琳科. 微观交通仿真模型参数标定结果取值方法研究[J]. 系统仿真学报, 2019, 31(12): 2802-2809.

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.

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微观交通仿真模型参数标定结果取值方法研究

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

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