A simulation-based dynamic traffic assignment model with combined modes

Meng Meng, Chunfu Shao, Jingjing Zeng, Chunjiao Dong

Research output: Contribution to journalArticlepeer-review

9 Citations (SciVal)

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.

Original languageEnglish
Pages (from-to)65-73
Number of pages9
JournalPromet – Traffic&Transportation
Volume26
Issue number1
DOIs
Publication statusPublished - 8 Feb 2014

Keywords

  • Combined modes
  • Dynamic traffic assignment
  • Mesoscopic simulation
  • Time-dependent shortest path algorithm

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Ocean Engineering
  • Engineering (miscellaneous)

Fingerprint

Dive into the research topics of 'A simulation-based dynamic traffic assignment model with combined modes'. Together they form a unique fingerprint.

Cite this