Author
Listed:
- CHUANFEI DONG
(School of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta GA 30332, United States;
Department of Modern Physics and Nonlinear Science Center, University of Science and Technology of China, Hefei, Anhui 230026, P. R. China)
- XU MA
(Department of Physics, Syracuse University, Syracuse NY 13244, United States;
Department of Modern Physics and Nonlinear Science Center, University of Science and Technology of China, Hefei, Anhui 230026, P. R. China)
- BINGHONG WANG
(Department of Modern Physics and Nonlinear Science Center, University of Science and Technology of China, Hefei, Anhui 230026, P. R. China;
The Research Center for Complex System Science, University of Shanghai for Science and Technology, and Shanghai Academy of System Science, Shanghai 200093, P. R. China)
Abstract
We first study dynamics of traffic flow with real-time information and the influence of a new feedback strategy named Vehicle Number Feedback Strategy (VNFS) in a multi-route scenario in which dynamic information can be generated and displayed on the board (the board refers to a variable message sign where information on the routes is displayed) to guide road users to make a choice. In a multi-route scenario, our model incorporates the effects of adaptability into the cellular automaton models of traffic flow and simulation results adopting vehicle number feedback strategy have demonstrated high efficiency in controlling spatial distribution of traffic patterns compared with the other three information feedback strategies, i.e. Travel Time Feedback Strategy (TTFS), Mean Velocity Feedback Strategy (MVFS) and Congestion Coefficient Feedback Strategy (CCFS). We also discuss the influence of expected arrival rate(Vp)at the entrance on the average flux of each route, and we find that the flux adopting VNFS is always the largest at eachVpvalue among these four feedback strategies.
Suggested Citation
Chuanfei Dong & Xu Ma & Binghong Wang, 2010.
"Effects Of Vehicle Number Feedback In Multi-Route Intelligent Traffic Systems,"
International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 21(08), pages 1081-1093.
Handle:
RePEc:wsi:ijmpcx:v:21:y:2010:i:08:n:s0129183110015683
DOI: 10.1142/S0129183110015683
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