交通运输研究2024，Vol.10Issue(1)：28-35,8.DOI:10.16503/j.cnki.2095-9931.2024.01.004
智能网联车专用道内队列控制模型
Platoon Control Model of Dedicated Lanes for Connected and Autonomous Vehicles
摘要
Abstract
In the scenario of mixed traffic of CAV(Connected and Autonomous Vehicles)and manual driv-ing vehicles,a platoon control model for CAV driving in platoon on dedicated lanes was proposed to im-prove the efficiency of mixed traffic flow.Based on the conditions of expressways and the operation mode of CAV,a model for creating,joining,and cruising control of CAV platoon was constructed by analyzing the motion process of the front and rear vehicles on the dedicated lane of CAV.The optimal strategy for forming a CAV platoon on the dedicated lane was also solved.To verify the effectiveness of the platoon control model,a single lane and a multi-lane simulation scenario were constructed using the SUMO(Simu-lation of Urban Mobility)simulation platform to simulate the process of CAV platoon on dedicated lanes,and the efficiency of traffic flow was statistically analyzed.The single lane simulation results showed that compared to the traditional CACC model,the platoon control model could reduce vehicle formation time by 23.06%;the multi-lane simulation results showed that when the CAV penetration rate was within the range of 23.22%to 40%,the average travel time of the vehicle under the platoon control model was reduced by 17%.This indicates that within the CAV dedicated lane,the platoon con-trol model can more effectively utilize the spatial resources of the dedicated lane,thereby reducing ve-hicle formation time and improving the traffic efficiency of mixed traffic in the intelligent connected environment.Therefore,the platoon control model could be used for the design of CAV dedicated lane in mixed traffic flow.关键词
智能网联车/专用车道/SUMO/队列控制/渗透率Key words
CAV(Connected and Autonomous Vehicles)/dedicated lanes/SUMO(Simulation of Urban Mobility)/platoon control/penetration rate分类
交通工程引用本文复制引用
柳祖鹏,姚海铧..智能网联车专用道内队列控制模型[J].交通运输研究,2024,10(1):28-35,8.基金项目
湖北省教育厅科研计划资助项目(B2019014) （B2019014）
