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Corresponding Angle Feedback in an innovative weighted transportation system
Authors:Chuanfei Dong  Xu Ma
Institution:a School of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, GA 30332, USA
b Department of Physics, Syracuse University, Syracuse, NY 13244, USA
c Department of Modern Physics and Nonlinear Science Center, University of Science and Technology of China (USTC), Hefei, Anhui 230026, PR China
Abstract:The optimal information feedback has a significant effect on many socioeconomic systems like stock market and traffic systems aiming to make full use of resources. In this Letter, we study dynamics of traffic flow with real-time information. The influence of a feedback strategy named Corresponding Angle Feedback Strategy (CAFS) is introduced, based on a two-route scenario in which dynamic information can be generated and displayed on the board to guide road users to make a choice. Our model incorporates the effects of adaptability into the cellular automaton models of traffic flow and simulation results adopting this optimal information feedback strategy have demonstrated high efficiency in controlling spatial distribution of traffic patterns compared with the other three information feedback strategies, i.e., vehicle number and flux.
Keywords:Corresponding Angle Feedback  Weighted transportation systems  Cellular automaton model
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