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基于智能交通系统的耦合映射跟驰模型和交通拥堵控制
引用本文:韩祥临,姜长元,葛红霞,戴世强.基于智能交通系统的耦合映射跟驰模型和交通拥堵控制[J].物理学报,2007,56(8):4383-4392.
作者姓名:韩祥临  姜长元  葛红霞  戴世强
作者单位:(1)湖州师范学院理学院,湖州 313000; (2)湖州师范学院理学院,湖州 313000;上海大学上海市应用数学与力学研究所,上海 200072; (3)宁波大学理学院,宁波 315211; (4)上海大学上海市应用数学与力学研究所,上海 200072
基金项目:国家重点基础研究发展计划(973计划);国家自然科学基金;国家自然科学基金;高等学校博士学科点专项科研项目;上海市重点学科建设项目;浙江省自然科学基金
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. 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

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
文章编号:1000-3290/2007/56(08)/4383-10
收稿时间:2006-09-30
修稿时间:4/2/2007 12:00:00 AM

A modified coupled map car-following model based on application of intelligent transportation system and control of traffic congestion
Han Xiang-Lin,Jiang Chang-Yuan,Ge Hong-Xia,Dai Shi-Qiang.A modified coupled map car-following model based on application of intelligent transportation system and control of traffic congestion[J].Acta Physica Sinica,2007,56(8):4383-4392.
Authors:Han Xiang-Lin  Jiang Chang-Yuan  Ge Hong-Xia  Dai Shi-Qiang
Institution:1. School of Science , Huzhou Teachers CoUege , Huzhou 313000,China;2.Shanghai Institute of Applied Mathematics and Mechanics, Shanghai University, Shanghai 200072, China;3.Institute of Science. Ningbo University. Ningbo 315211. China
Abstract: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.
Keywords:traffic flow  intelligent transportation system  coupled map car-following model  control of traffic congestion
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