A simulation-based dynamic traffic assignment model with consideration of mixed traffic flows

Ta Yin Hu, Li Wen Chen, Pai Hsien Hung, Yung Kuei Huang, Min Ling Chiang

研究成果: Paper

1 引文 斯高帕斯(Scopus)

摘要

Network assignment distributes Origin-Destination (OD) trips in a network, and determines the flow patterns in a traffic network. This research aims at developing simulation-based algorithm for dynamic traffic assignment problems under mixed traffic flow considerations. The algorithm consists of an inner loop that incorporates a direction finding mechanism for the search process for System Optimization (SO) and User Equilibrium (UE) classes based on the simulation results of the current iteration, including experienced vehicular trip times and marginal trip times. Convergence is sought by obtaining search directions for the SO and UE classes. The core is a simulation-assignment model, DynaTAIWAN (Dynamic Traffic Assignment and Information for Wide Area Networks), that allows consideration of individual tripmaker decisions at the origin as well as at each node along the way to the destination, in addition to describing the dynamics of vehicular traffic flow.

原文English
出版狀態Published - 2006 一月 1
事件13th World Congress on Intelligent Transport Systems and Services, ITS 2006 - London, United Kingdom
持續時間: 2006 十月 82006 十月 12

Other

Other13th World Congress on Intelligent Transport Systems and Services, ITS 2006
國家United Kingdom
城市London
期間06-10-0806-10-12

    指紋

All Science Journal Classification (ASJC) codes

  • Mechanical Engineering
  • Transportation
  • Electrical and Electronic Engineering
  • Computer Science Applications
  • Automotive Engineering
  • Artificial Intelligence
  • Control and Systems Engineering
  • Computer Networks and Communications

引用此

Hu, T. Y., Chen, L. W., Hung, P. H., Huang, Y. K., & Chiang, M. L. (2006). A simulation-based dynamic traffic assignment model with consideration of mixed traffic flows. 論文發表於 13th World Congress on Intelligent Transport Systems and Services, ITS 2006, London, United Kingdom.