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

作　　者：韩祥临[1] 姜长元[1] 葛红霞[2] 戴世强[3] 

机构地区：[1]湖州师范学院理学院,湖州313000 [2]宁波大学理学院,宁波315211 [3]上海大学上海市应用数学与力学研究所,上海200072

出　　处：《物理学报》2007年第8期4383-4392,共10页Acta Physica Sinica

基　　金：国家重点基础研究发展规划(批准号:2006CB705500);国家自然科学基金重点项目(批准号:10532060);国家自然科学基金(批准号:10471039;10602025);教育部博士点基金(批准号:20040280014);上海市重点学科建设基金(批准号:Y0103);浙江省自然科学基金(批准号:Y606268)资助的课题.~~

摘　　要：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.

关 键 词：交通流 智能交通系统 耦合映射跟驰模型 交通拥堵控制 

分 类 号：U495[交通运输工程—交通运输规划与管理]