广西师范大学学报（自然科学版）2017，Vol.35Issue(3)：14-21,8.DOI:10.16088/j.issn.1001-6600.2017.03.002
连续记忆效应的交通流跟驰建模与稳定性分析
Modeling and Stability Analysis of Traffic Flow Car-following Model with Continuous Memory Effect
摘要
Abstract
In order to investigate the impacts of driver's self-determination characteristic on traffic flow,an extended self-stabilizing control driving car-following model is proposed by considering the driver's continuous memory for vehicle velocity changes in real traffic.It is expected that the stability of traffic flow can be improved.The stability condition a＞2V'(b)(1-λγ) of this model is obtained by using the linear stability analysis.Compared with the Bando's optimal velocity (OV) model,it can be found that the critical value a c of the sensitivity in the new model decreases and the stable region is apparently enlarged.The numerical simulation results show that the effect of driver's continuous memory can obviously improve the stability of traffic flow,and effectively suppress the traffic jams.关键词
交通流/跟驰模型/稳定性分析/数值模拟Key words
traffic flow/car-following model/stability analysis/numerical simulation分类
交通工程引用本文复制引用
陈春燕,许志鹏,邝华..连续记忆效应的交通流跟驰建模与稳定性分析[J].广西师范大学学报（自然科学版）,2017,35(3):14-21,8.基金项目
国家自然科学基金(11262005) （11262005）
广西自然科学基金(2014GXNSFAA118007) （2014GXNSFAA118007）
广西高校科研一般项目(YB2014034) （YB2014034）
广西研究生教育创新计划(YCSW2017096,YCSZ2016039) （YCSW2017096,YCSZ2016039）
