系统仿真学报 ›› 2021, Vol. 33 ›› Issue (12): 2808-2819.doi: 10.16182/j.issn1004731x.joss.21-FZ0828

• 仿真建模理论与方法 • 上一篇    下一篇

检测数据驱动的交通仿真参数标定方法研究

马文欣, 李瑞敏*   

  1. 清华大学,北京 100084
  • 收稿日期:2021-05-24 修回日期:2021-08-16 出版日期:2021-12-18 发布日期:2022-01-13
  • 通讯作者: 李瑞敏(1979-),男,博士,副教授,研究方向为智能交通系统,城市交通规划与管理,交通信息与控制,交通安全,交通仿真。E-mail:lrmin@tsinghua.edu.cn
  • 作者简介:马文欣(1998-),女,博士生,研究方向为交通仿真。E-mail:mawenxin0423@163.com
  • 基金资助:
    国家自然科学基金(71871123)

Research on Detection Data Driven Calibration Method of Traffic Simulation Parameters

Ma Wenxin, Li Ruimin*   

  1. Tsinghua University, Beijing 100084, China
  • Received:2021-05-24 Revised:2021-08-16 Online:2021-12-18 Published:2022-01-13

摘要: 为进一步提高交通仿真模型的准确性,使仿真模型能够及时响应交通需求和驾驶行为的变化,开发了检测数据驱动的动态仿真参数标定方法。提出了检测数据与仿真平台的动态交互方法,选取了北京市光华路/金桐东路交叉口和包头市友谊大街连续5个交叉口作为案例进行了研究。针对初始参数集合进行了敏感性分析,基于分析结果选择所需标定的参数,在VISSIM仿真平台中对案例进行了建模并标定了其驾驶行为参数。仿真结果表明,相比于静态参数标定方法和简单规则动态标定方法,所提方法误差最小,但是选择参数的过程耗时相对较长。

关键词: 交通仿真模型, 检测数据, 动态参数标定, 驾驶行为, 敏感性分析

Abstract: To improve the accuracy of traffic simulation model and timely response of traffic demand and driving behavior changes, dynamic calibration method of simulation parameters based on detection data is proposed. Dynamic interaction between detection data and simulation platform is proposed. Intersection of Guanghua Road/Jintong East Road in Beijing and five consecutive intersections on Youyi Street in Baotou are Selected as study cases. Sensitivity analysis is conducted on initial parameter combinations. Based on the analysis results, parameters to be calibrated are selected. Models of cases are developed in VISSIM and driving behavior parameters are calibrated. Simulation results show that compared to static calibration and dynamic calibration based on simple rules, the proposed method yields the lowest error but longest time consumption for choosing optimistic parameters.

Key words: traffic simulation model, detection data, dynamic calibration, driving behavior, sensitivity analysis

中图分类号: