A new car-following model with consideration of the prevision driving behavior |
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| Institution: | 1. Key Laboratory of Dependable Service Computing in Cyber Physical Society of Ministry of Education, Chongqing University, Chongqing 400044, China;2. College of Automation, Chongqing University, Chongqing 400030, China;1. School of Control Science and Engineering, Shandong University, Jinan, 250061, China;2. School of Rail Transit, Shandong Jiaotong University, Jinan 250023, China;1. Ningbo University, Ningbo 315211, China;2. Jiangsu Key Laboratory of Urban ITS, Southeast University, Nanjing 210096, China;3. Jiangsu Province Collaborative Innovation Center for Modern Urban Traffic Technologies, Nanjing 210096, China;4. National Traffic Management Engineering Technology Research Centre, Ningbo University Sub-centre, Ningbo 315211, China;5. Ningbo Institute of Technology, Zhejiang University, Ningbo 315100, China;1. Faculty of Maritime and Transportation, Ningbo University, Ningbo 315211, China;2. Jiangsu Province Collaborative Innovation Center for Modern Urban Traffic Technologies, Nanjing 210096, China;3. National Traffic Management Engineering and Technology Research Centre Ningbo University Sub-centre, Ningbo 315211, China;4. Department of Fundamental Course, Ningbo Institute of Technology, Zhejiang University, Ningbo 315100, China |
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| Abstract: | In the paper, a new car-following model is presented with the consideration of the prevision driving behavior on a single-lane road. The model’s linear stability condition is obtained by applying the linear stability theory. And through nonlinear analysis, a modified Korteweg–de Vries (mKdV) equation is derived to describe the propagating behavior of traffic density wave near the critical point. Numerical simulation shows that the new model can improve the stability of traffic flow by adjusting the driver’s prevision intensity parameter, which is consistent with the theoretical analysis. |
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| Keywords: | Traffic flow Car-following model Prevision driving behavior Traffic jam |
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