EFFECTS OF VEHICLE NUMBER FEEDBACK IN MULTI-ROUTE INTELLIGENT TRAFFIC SYSTEMS

Chuanfei Dong (), Xu Ma and Binghong Wang
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Chuanfei Dong: School of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta GA 30332, United States;
Xu Ma: Department of Physics, Syracuse University, Syracuse NY 13244, United States;
Binghong Wang: Department of Modern Physics and Nonlinear Science Center, University of Science and Technology of China, Hefei, Anhui 230026, P. R. China;

International Journal of Modern Physics C (IJMPC), 2010, vol. 21, issue 08, 1081-1093

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.

Keywords: Vehicle number feedback; multi-route; intelligent traffic systems; cellular automaton model; road capacity; 89.40.Bb; 89.20.-a; 02.60.Cb (search for similar items in EconPapers)
Date: 2010
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DOI: 10.1142/S0129183110015683

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