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.
Highlights
The modelling of simulation-based dynamic traffic assignment (DTA) has witnessed a growing amount of research attention recently as the management of the time-dependent traffic flow becomes more and more important
A simulation-based DTA model with combined modes is closer to realistic behaviour in mode choice and assignment procedures, which should be the future direction of the research
When the car transfer information is not provided, the traveller who drives the car has no opportunity to transfer to other traffic mode; the private car trip increased from 61.5% to 86.5%, and the average travel time increased from 20.55 minutes to 21.07 minutes
Summary
The modelling of simulation-based dynamic traffic assignment (DTA) has witnessed a growing amount of research attention recently as the management of the time-dependent traffic flow becomes more and more important. Dynamic combined trip assignment needs to focus on the mode-route choice problem in the time-dependent network. It involves mode and route choice simultaneously in the traffic demand simulator in which travellers choose the routes but the traffic mode at the transfer nodes. Abdelghany and Mahmassani [7] presented a simulation-based DTA model with combined mode They captured the interaction between mode choice and traffic assignment in a multi-modal network. These two models just focus on the motor vehicles and regard travel time as the only factors in road impedance function model. When the simulation process is complete, the output is the distribution of traffic flows which can be used in the traffic analysis
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