智能网联车环境下异质交通流稳定性及安全性分析  

Stability and safety analysis for heterogeneous traffic flow composed of intelligent and connected vehicles

作　　者：蒋阳升[1,2] 胡蓉 姚志洪[1,2,3] 吴培财[4] 罗孝羚 JIANG Yangsheng;HU Rong;YAO Zhihong;WU Peicai;LUO Xiaoling(School of Transportation and Logistics,Southwest Jiaotong University,Chengdu 611756,China;National Engineering Laboratory for Integrated Transportation Big Data Application Technology,Southwest Jiaotong University,Chengdu 611756,China;Chongqing Key Laboratory of Transportation Engineering,Chongqing Jiaotong University,Chongqing 400074,China;JMX Consumer Finance Co.,Ltd.,Xiamen Fujian 361008,China)

机构地区：[1]西南交通大学交通运输与物流学院,成都611756 [2]西南交通大学综合交通大数据应用技术国家工程实验室,成都611756 [3]重庆交通大学重庆市交通运输工程重点实验室,重庆400074 [4]厦门金美信消费金融有限责任公司,福建厦门361008

出　　处：《北京交通大学学报》2020年第1期27-33,共7页JOURNAL OF BEIJING JIAOTONG UNIVERSITY

基　　金：国家自然科学基金(51578465,71771190);重庆市交通运输工程重点实验室开放基金项目(2018TE01);西南交通大学2019年研究生学术素养提升计划(2019KCJS46)。

摘　　要：针对未来道路上由人工驾驶车辆(Human Driven Vehicles,HDVs)和智能网联车(Intelligent and Connected Vehicles,ICVs)所组成的异质交通流,对其稳定性与安全性进行研究.首先,利用全速度差模型(Full Velocity Difference,FVD)和协同自适应巡航控制模型(Cooperative Adaptive Cruise Control,CACC)分别描述人工驾驶车辆和智能网联车的跟驰特性.然后,通过分析不同智能网联车渗透率下异质交通流的线性稳定性,得出其稳定性条件.最后,采用数值仿真实验进行验证,选取多项安全指标评估了不同渗透率下异质交通流的安全性.结果表明:随着渗透率的增加,交通流的车速离散程度减小,即表示安全性能提高;安全指标降低比例减少,即表示交通安全风险降低.因此,智能网联车的应用有助于提高交通安全.On future roads,the heterogeneous traffic flow will be composed of Human Driven Vehicles(HDVs)and Intelligent and Connected Vehicles(ICVs),focusing on which their stability and safety performance are studied in this paper.Firstly,the Full Velocity Difference(FVD)model and Cooperative Adaptive Cruise Control(CACC)following model are adopted to describe the car-following characteristics of the HDVs and ICVs.Then the stability conditions of heterogeneous traffic flow under different penetration rates of the ICVs are obtained by analyzing the linear stability.Finally,a numerical simulation of heterogeneous traffic flow is designed for verification,and the safety performance of heterogeneous traffic flow under different penetration rates is evaluated by multiple safety indexes.The results show that as the penetration rate increases,the dispersion degree of the vehicle speed in heterogeneous traffic flow decreases,which means that it becomes safer.The reduction ratio of the safety index decreases with the increase of penetration rate,which indicates the safety risk is reduced.Therefore,the application of ICVs can improve traffic safety.

关 键 词：智能交通 智能网联车 稳定性 安全性 跟驰模型 异质交通流 

分 类 号：U491[交通运输工程—交通运输规划与管理]