A simulation-based dynamic traffic assignment model with combined modes
Meng, Meng ORCID: 0000-0001-7240-6454 , Shao, Chunfu, Zeng, Jingjing and Dong, Chunjiao (2014) A simulation-based dynamic traffic assignment model with combined modes. PROMET - Traffic & Transportation, 26 (1). pp. 65-73. ISSN 0353-5320 (Print), 1848-4069 (Online)
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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.
Item Type: | Article |
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Uncontrolled Keywords: | dynamic traffic assignment; combined modes; mesoscopic simulation; time-dependent shortest path algorithm |
Subjects: | H Social Sciences > HE Transportation and Communications |
Faculty / School / Research Centre / Research Group: | Faculty of Business Faculty of Business > Networks and Urban Systems Centre (NUSC) > Connected Cities Research Group Faculty of Business > Department of Systems Management & Strategy |
Last Modified: | 11 Feb 2019 16:07 |
URI: | http://gala.gre.ac.uk/id/eprint/22691 |
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