A simulation-based dynamic traffic assignment model with combined modes

  • Meng Meng Beijing jiaotong University
  • Chunfu Shao Beijing Jiaotong University
  • Jingjing Zeng Beijing E-Hualu Information Technology Company Limited
  • Chunjiao Dong The University of Tennessee
Keywords: dynamic traffic assignment, combined modes, mesoscopic simulation, time-dependent shortest path algorithm,

Abstract

This paper presents a dynamic traffic assignment (DTA) model for urban multi-modal transportation network by con­structing a mesoscopic simulation model. Several traffic means such as private car, subway, bus and bicycle are con­sidered in the network. The mesoscopic simulator consists of a mesoscopic supply simulator based on MesoTS model and a time-dependent demand simulator. The mode choice is si­multaneously considered with the route choice based on the improved C-Logit model. The traffic assignment procedure is implemented by a time-dependent shortest path (TDSP) al­gorithm in which travellers choose their modes and routes based on a range of choice criteria. The model is particularly suited for appraising a variety of transportation management measures, especially for the application of Intelligent Trans­port Systems (ITS). Five example cases including OD demand level, bus frequency, parking fee, information supply and car ownership rate are designed to test the proposed simulation model through a medium-scale case study in Beijing Chaoy­ang District in China. Computational results illustrate excel­lent performance and the application of the model to analy­sis of urban multi-modal transportation networks.

Author Biographies

Meng Meng, Beijing jiaotong University

Meng Meng is a Ph.D student at the School of Traffic and Transportation at Beijing Jiaotong University at Beijing (China).  Dr. Meng’s research interests are in the areas of traffic planning and transportation management, ITS, and traffic safety. Her publishedworks appear in several refereed journals, including Disaster Advanced, Journal of Information, Journal of Computer, Journal of Beijing Institute of Technology(Natural Science Edition), Journal of Central South University of Technology and so on.

Chunfu Shao, Beijing Jiaotong University
MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology
Chunjiao Dong, The University of Tennessee
Center for Transportation Research, TN37996, USA

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Published
2014-02-28
How to Cite
1.
Meng M, Shao C, Zeng J, Dong C. A simulation-based dynamic traffic assignment model with combined modes. Promet - Traffic&Transportation. 2014;26(1):65-3. DOI: 10.7307/ptt.v26i1.1252
Section
Articles