基于智能交通系统的耦合映射跟驰模型和交通拥堵控制

A modified coupled map car-following model based on application of intelligent transportation system and control of traffic congestion

基于智能交通诱导信息,提出一种改进的耦合映射跟驰模型,用于描述单车道的交通流动力学特性及其拥堵控制.利用反馈控制理论,给出了在头车速度发生变化时交通流保持稳定的条件.分析结果表明,考虑前方更多车辆的信息对交通流有致稳作用,亦即稳定性条件明显减弱.数值模拟证实了理论分析的正确性,通过与他人相关工作的比较得知,考虑智能交通诱导信息能够更有效地抑制交通拥堵.

A modified coupled map car-following model is proposed for a one-way with the application of intelligent transportation system to describe the dynamic characteristics of one-way traffic flow and the control of traffic congestion. Based on the present model and the theory of feedback control, the stability criteria are given for the change of speed of the lead vehicle. The theoretical analysis shows that the information on more leading vehicles of each vehicle could lead to a stabilization effect for the traffic flow, that is, the stability conditions could be considerably weakened. The corresponding numerical simulations confirm the correctness of the theoretical analysis. Through comparing the present results with those in previous works, it is concluded that the proposed control strategy is more effective in suppressing the formation of traffic congestion by applying and controlling the induction information provided by the intelligent transportation system.