文献类型：期刊文献

中文题名：基于最优速度模型的改进安全距离跟驰模型

英文题名：Car-following model with improving safety distance based on optimal velocity model

作者：曲昭伟[1];潘昭天[1];陈永恒[1];陶鹏飞[1];孙迪[2]

第一作者：曲昭伟

通讯作者：Chen, Yong-Heng

机构：[1]吉林大学交通学院,长春130022;[2]北京联合大学城市轨道交通与物流学院,北京100101

第一机构：吉林大学交通学院,长春130022

年份：2019

卷号：0

期号：4

起止页码：1092-1099

中文期刊名：吉林大学学报：工学版

外文期刊名：Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition)

收录：CSTPCD;;EI(收录号：20193507366584);Scopus(收录号：2-s2.0-85071197356);北大核心:【北大核心2017】；CSCD:【CSCD2019_2020】；

基金：国家自然科学基金项目(51705196);北京市教育委员会科技计划面上项目(KM201511417005)

语种：中文

中文关键词：交通运输系统工程;跟驰模型;数值仿真;交通流理论

外文关键词：engineering of communications and transportation system;car-following model;numerical simulation;traffic flow theory

摘要：针对最优速度(OV)模型及其相关衍生模型(GF,FVD等)假设安全距离恒定的缺陷,提出了基于最优速度模型的改进安全距离跟驰模型,并对本文模型的改进情况进行理论分析。根据本文模型仿真分析了道路车流密度、车辆最大可行驶速度和驾驶员反应延迟时间对交通流稳定性的影响。最后,采用美国NGSIM数据库数据作为样本,通过聚类分析对本文模型进行检验,并与OV模型、GF模型和FVD模型进行对比,结果证明了本文模型的准确性和有效性。
In order to overcome the defect of fixed safety distance in Optimal Velocity(OV)model and its related derivative generalized force(GF)model and full velocity difference(FVD)model,a car-following model with improving safety distance based on the OV model is proposed in this paper.The improvements of the proposed model are analyzed theoretically.Then,according to the proposed model,the simulation frameworks are developed to analyze the impact of three model parameters on traffic flow stability.These parameters are the density of traffic flow on the road,the maximum velocity for driving vehicle and the time of driver’s reaction delay.The simulation can truly reproduce the propagation state of traffic flow.Finally,using the data from U.S.NGSIM Database as samples,the accuracy and effectiveness of the model presented in this paper are verified after testing with cluster analysis by comparing with OV model,GF model and FVD model.