考虑最邻近前车综合信息的反馈控制跟驰模型  

A modified feedback controlled car-following model considering the comprehensive information of the nearest-neighbor leading car

作　　者：孙棣华[1,2] 周桐[1,2] 刘卫宁[2] 郑林江[2] 

机构地区：[1]重庆大学自动化学院,重庆400044 [2]重庆大学信息物理社会可信服务计算教育部重点实验室,重庆400044

出　　处：《物理学报》2013年第17期73-79,共7页Acta Physica Sinica

基　　金：中国工程院重点咨询项目(批准号:2012-ZX-22);重庆市自然科学基金重点项目(批准号:cstc2012jjB40002);教育部博士点基金项目(批准号:20120191110047);重庆市科委工程中心研究计划项目(批准号:2011pt-gc30005);重庆市科技攻关重点项目(批准号:2011AB2052;2012gg-yyjsB30001)资助的课题~~

摘　　要：拥堵控制中,通过车辆运行状态感知与控制的交互融合,实现对车辆有效控制的过程,具有信息物理融合系统的典型特征.本文基于Konishi等的研究工作,从交通信息系统与交通物理系统融合的角度,进一步考虑优化速度差和安全间距对车流的影响,在耦合映射跟驰模型中,提出了一种考虑最邻近前车综合信息的交通拥堵反馈控制方案.运用反馈控制理论,给出了头车速度发生变化时交通流保持稳定的条件,并与前人工作进行了比较.理论分析与数值模拟结果一致表明,耦合映射跟驰模型在本文提出的控制方案下能更有效地抑制交通拥堵.Congestion control is a process to achieve optimal decision-making and effective control of vehicles through the interaction of vehicular perception and control, it shows the typical characteristic of cyber physical systems. Based on the pioneer work of Konishi et al., we present a new feedback control scheme to suppress traffic jam in the coupled map car-following model under open boundary condition, which considers the effect of safe headway and optimal velocity difference on the traffic system from the perspective of tight conjoining between the transportation cyber system and the transportation physical system. According to the control theory, the condition under which traffic jam can be suppressed is analyzed. Both theoretical analyses and simulation results show that the suppression performance of our scheme is better than those of the previous schemes, although all the schemes can suppress traffic jam.

关 键 词：交通流 交通拥堵控制 耦合映射跟驰模型 信息物理融合系统 

分 类 号：U491.255[交通运输工程—交通运输规划与管理]