Traffic flow cellular automaton model with bi-directional information in an open boundary condition

作     者：Liang Zheng Zhengpeng He 

作者机构：School of Traffic&Transportation EngineeringCentral South UniversityChangshaChina 

出 版 物：《Transportation Safety and Environment》 (交通安全与环境（英文）)

年 卷 期：2021年第3卷第1期

页      面：1-9页

核心收录：

学科分类：0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 

基　　金：supported by the National Natural Science Foundation of China(Grant No.71871227) the Innovation Driven Plan of Central South University(Grant No.20180016040002) 

主　　题：traffic flow cellular automaton backward-looking perception range hysteresis phenomenon 

摘      要：With Connected Vehicle Technologies being popular,drivers not only perceive downstream traffic information but also get upstream information by routinely checking backward traffic conditions,and the backward-looking frequency or probability is usually affected by prevailing traffic ***,the bi-directional perception range of drivers is expected to significantly increase,which results in more informed and coordinated driving ***,we propose a traffic flow bi-directional CA model with two perception ranges,and perform the numerical simulations with the field data collected from a one-lane highway in Richmond,California,USA as the benchmark *** results show that the CA model can effectively reproduce the oscillation of relatively congested traffic and the traffic hysteresis *** adjusting the backward-looking probability and the perception range,the CA model can well simulate the travel times of all vehicles,and the generation and dissolution of traffic jams under various scenarios.