基于多前车位置及速度差信息的车辆跟驰模型  

Car-following model based on the information of multiple ahead & velocity difference

作　　者：孙棣华[1] 李永福[1] 田川[1] 

机构地区：[1]重庆大学自动化学院,重庆400044

出　　处：《系统工程理论与实践》2010年第7期1326-1332,共7页Systems Engineering-Theory & Practice

基　　金：教育部高等学校博士点基金(20090191110022);重庆大学"211工程"三期创新人才培养计划建设项目(S-09108);国家科技计划攻关项目(2002BA404A07);重庆市科技计划攻关项目(CSTC;2005AC6037)

摘　　要：在全速度差模型(Full velocity difference,FVD)模型和多速度差模型(Multiple velocitydifference,MVD)的基础上,提出了一种基于多前车位置及速度差信息的跟驰模型(Multiple ahead& velocity difference,MAVD),以期更加客观地描述实际中的交通现象.通过对MAVD模型进行线性稳定性分析,并与FVD和MVD模型进行比较,发现自由流稳定的敏感系数临界值变小,稳定区域明显增加.同时,对MAVD模型进行了非线性分析,得出了其mKdV方程,并给出了其车头间距的扭结波解.最后对MAVD模型进行了的数值仿真,结果表明MAVD模型能有效的抑制交通流的堵塞.A new car-following model termed as multiple ahead ＆ velocity difference （MAVD）, which is a further extension for the existing model of full velocity difference （FVD）and multiple velocity difference （MVD）, is proposed to describe the traffic phenomenon. Based on the linear analysis, it is shown that the critical value of the sensitivity in the MAVD model decreases and the stable region is apparently enlarged, compared with the FVD and MVD model. Meanwhile, nonlinear analysis is conducted to obtain the modified Korteweg-de Vries equation （mKdV equation） and the corresponding kink solution to the headway of the car. In the end, simulation results demonstrate that the proposed MAVD model can suppress the traffic jam effectively.

关 键 词：交通流 跟驰模型 稳定性分析 MKDV方程 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]