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Effects of prediction feedback in multi-route intelligent traffic systems |
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| Authors: | Chuanfei Dong Xu Ma Binghong Wang Xiaoyan Sun |
| Institution: | a School of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, GA 30332, USA b Department of Modern Physics and Nonlinear Science Center, University of Science and Technology of China (USTC), Hefei, Anhui 230026, PR China c Department of Physics, Syracuse University, Syracuse, NY 13244, USA d The Research Center for Complex System Science, University of Shanghai for Science and Technology, Shanghai 200093, PR China |
| Abstract: | We first study the influence of an efficient feedback strategy named the prediction feedback strategy (PFS) based on a multi-route scenario in which dynamic information can be generated and displayed on the board to guide road users to make a choice. In this scenario, our model incorporates the effects of adaptability into the cellular automaton models of traffic flow. 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. At the end of this paper, we also discuss in what situation PFS will become invalid in multi-route systems. |
| Keywords: | Prediction feedback Multi-route Intelligent traffic systems Cellular automaton model |
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