A new coupled-map car-following model based on a transportation supernetwork framework

• 作 者: 姚静 黄婧祎 陈关荣 许维胜
• 机 构: Department of Control Science and Engineering,Tongji University,Department of Electronic and Compute
• 出 处: Chinese Physics B
• 发表日期: 2013年06期
• 关键词: traffic congestion considering interact suppressing transportation concerning su

A new car-following model is proposed by considering information from a number of preceding vehicles with intervehicle communication.A supernetwork architecture is first described,which has two layers:a traffic network and a communication network.The two networks interact with and depend on each other.The error dynamic system around the steady state of the model is theoretically analyzed and some nonjam criteria are derived.A simple control signal is added to the model to analyze the criteria of suppressing traffic jams.The corresponding numerical simulations confirm the correctness of the theoretical analysis.Compared with previous studies concerning coupled map models,the controlled model proposed in this paper is more reasonable and also more effective in the sense that it takes into account the formation of traffic congestion.

A new car-following model is proposed by considering information from a number of preceding vehicles with intervehicle communication. A supernetwork architecture is first described, which has two layers: a traffic network and a communication network. Two-network interact with and depend on each other. the error dynamic system around the steady state of the model is theoretically analyzed and some nonjam criteria are derived. A simple control signal is added to the model to analyze the criteria of suppressing traffic jams. The corresponding numerical simulations confirm the correctness of the theoretical analysis. Compared with previous studies concerning coupled map models, the controlled model proposed in this paper is more reasonable and also more effective in the sense that it takes into account the formation of traffic congestion.