交通运输系统工程与信息 ›› 2014, Vol. 14 ›› Issue (5): 74-80.

• 智能交通系统与信息技术 • 上一篇    下一篇

基于IAGSO 算法的VISSIM 模型校正研究与实现

唐少虎,刘小明*   

  1. 北方工业大学机电工程学院城市道路交通智能控制技术北京市重点实验室,北京100144
  • 收稿日期:2013-11-07 修回日期:2014-04-24 出版日期:2014-10-25 发布日期:2014-12-17
  • 作者简介:唐少虎(1986-),男,山东临沂人,博士生.
  • 基金资助:

    国家自然科学基金(61374191);国家高技术研究发展计划(863计划)(2012AA112401).

VISSIM Model Calibration Based on IAGSO Algorithm

TANG Shao-hu,LIU Xiao-ming   

  1. College of Mechanical and Electrical Engineering, North China Univ. of Tech., Beijing 100144, China
  • Received:2013-11-07 Revised:2014-04-24 Online:2014-10-25 Published:2014-12-17

摘要:

微观交通仿真能够再现城市道路交通状况,其关键步骤是建立仿真模型.为使 模型最大程度地反映实际道路运行状况,需要对所建立的模型进行校正.首先本文设计了 改进的自适应步长的人工萤火虫算法(IAGSO)和以排队长度为指标的目标函数.然后,设 计了基于IAGSO 算法的VISSIM 模型参数校正的方法.最后,设计和实现了基于B/S 结构 的交叉口仿真分析系统,应用VISSIM 对北京市某交叉口建模,利用系统对此模型进行参 数校正,比较模型校正前、校正后和现场调查的四个进口方向的排队长度.通过比较结果 验证了基于IAGSO 算法的VISSIM 模型参数校正的有效性.

关键词: 城市交通, 模型校正, 人工萤火虫算法, VISSIM, B/S 结构

Abstract:

Microscopic traffic simulation can reproduce the status of urban road traffic conditions. The key step is formulating a simulation model. Then, the model should be calibrated to accurately reflect the operation status of the road traffic. First, the improved adaptive step glowworm swarm optimization (IAGSO) algorithm, and the target function with the queue length as index is designed. Then the VISSIM simulation model calibration method which is developed based on the IAGSO. Finally, the intersection simulation system based on B/S structure is realized to calibrate the established model of a Beijing intersection by VISSIM, and compare the queue length of four vehicle imported directions between pre-and post- calibrations and the on- site investigations. The results demonstrate the effectiveness of calibration of VISSIM model parameters based on the IAGSO.

Key words: urban traffic, model calibration, glowworm swarm optimization algorithm, VISSIM, structure of B/S

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