A simulation-based dynamic traffic assignment model with combined modes

This paper presents a dynamic traffic assignment (DTA) model for urban multi-modal transportation network by constructing a mesoscopic simulation model. Several traffic modes such as private car, subway, bus and bicycle are considered in the network. The mesoscopic simulator consists of a mesoscopic...

Full description

Saved in:
Bibliographic Details
Main Authors: Meng, Meng, Shao, Chunfu, Zeng, Jingjing, Dong, Chunjiao
Other Authors: School of Civil and Environmental Engineering
Format: Article
Language:English
Published: 2015
Subjects:
Online Access:https://hdl.handle.net/10356/106228
http://hdl.handle.net/10220/24979
http://dx.doi.org/10.7307/ptt.v26i1.1252
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
Description
Summary:This paper presents a dynamic traffic assignment (DTA) model for urban multi-modal transportation network by constructing a mesoscopic simulation model. Several traffic modes 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-depended 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 travelers 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). Four example cases including OD demand level, bus frequency, parking fee and information supply 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.