CAV车辆与HDV车辆混合交通流基本图模型  

Fundamental Diagram of Traffic Flow Modeling of Mixed CAV Vehicles and HDV Vehicles

作　　者：郭暖 黄中祥[1] 张生[1] GUO Nuan;HUANG Zhong-xiang;ZHANG Sheng(School of Traffic and Transportation Engineering,Changsha University of Science and Technology,Changsha 410114,China)

机构地区：[1]长沙理工大学交通运输工程学院,湖南长沙410114

出　　处：《系统工程》2025年第1期101-109,共9页Systems Engineering

基　　金：湖南省交通科技项目(202140)。

摘　　要：人工驾驶车辆和网联自动驾驶车辆并存的混合交通流将是未来道路的主要组成方式。本文构建了设置专用车道的路段基本图模型,分析了混合交通流引起的安全与运行问题,探究了专用车道对路段混合交通流的优化效果。首先,基于智能驾驶员模型,确定交通流中的车辆类型和不同类型车辆的比例关系,改进不同类型车辆跟驰模型。然后综合考虑网联自动驾驶车辆渗透率、专用车道数、自由流速度、自动驾驶车辆功能退化、驾驶员反应时间以及网联自动驾驶车辆溢出等因素,推导出设置专用车道的混合交通流基本图模型。最后,针对路段通行能力、临界密度进行参数敏感性分析。结果表明:(1)网联自动驾驶车比例的增加能提高路段的通行能力;(2)自由流速度的提高对路段的最大流量有积极影响。(3)临界密度受网联自动驾驶车辆渗透率以及专用道共同影响。研究结果为混合交通流的优化以及专用车道的设置提供了理论参考。The Mixed traffic flow with the coexistence of manually driven vehicles and networked self-driving vehicles will be the main composition of road traffic in the future.In order to solve the efficiency as well as safety problems caused by the mixed traffic flow and to study the optimization effect of dedicated lanes on the mixed traffic flow of road sections,the Fundamental Diagram Of Traffic Flow model of road sections with dedicated lanes is established.First,based on the intelligent driver model,the types of vehicles in the traffic flow and the proportional relationship between different types of vehicles are determined,and the model of different types of vehicle following is improved.Then the Fundamental Diagram Of Traffic Flow model of mixed traffic flow with dedicated lanes is derived by comprehensively considering the penetration rate of grid-connected self-driving vehicles,the number of dedicated lanes,the speed of free flow,the degradation of self-driving vehicles,the reaction time of drivers,and the overflow of grid-connected self-driving vehicles,etc.;finally,a parameter sensitivity analysis is carried out for the roadway section accessibility and the critical density.The results show that:(1)the increase of the proportion of grid-connected self-driving vehicles can improve the roadway capacity;(2)the free-flow speed,on the other hand,has a positive impact on the maximum flow rate of the roadway;(3)critical density is jointly influenced by the penetration rate of smart grid-connected autonomous vehicles as well as dedicated lanes.The results provide theoretical references for mixed traffic flow optimization and dedicated lane setting.

关 键 词：专用车道 反应时间 跟驰模型 交通流基本图 网联自动驾驶车辆 渗透率 

分 类 号：U491[交通运输工程—交通运输规划与管理]