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智能网联车专用道内队列控制模型

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在智能网联车与人工驾驶车辆混合通行的场景中,为提高混行交通流的通行效率,提出了一种智能网联车专用道内车辆按编队行驶的队列控制模型。根据快速路道路条件和智能网联车的运行模式,通过分析智能网联车专用道内前后两车的运动过程,构建了智能网联车车队创建、加入和巡航控制模型,并求解出专用道内智能网联车形成编队行驶的最优策略。为验证队列控制模型的有效性,利用SUMO仿真平台搭建单车道和多车道仿真场景,模拟智能网联车在专用道内形成车队的过程,统计分析车流的通行效率,其中单车道仿真结果显示,相比于传统CACC跟驰模型,队列控制模型能将车辆编队时间减少23。06%;多车道仿真结果显示,当CAV渗透率在23。22%~40%时,队列控制模型下的车辆平均行程时间缩短17%。这表明在智能网联车专用道内,队列控制模型能更有效地利用专用道的空间资源,从而缩短车辆编队时间,提高智能网联环境下混行交通流的通行效率,故可用于混行交通流下智能网联车专用道的设置。
Platoon Control Model of Dedicated Lanes for Connected and Autonomous Vehicles
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.

CAV(Connected and Autonomous Vehicles)dedicated lanesSUMO(Simulation of Urban Mobility)platoon controlpenetration rate

柳祖鹏、姚海铧

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武汉科技大学汽车与交通工程学院,湖北 武汉 430065

智能网联车 专用车道 SUMO 队列控制 渗透率

湖北省教育厅科研项目

B2019014

2024

交通运输研究
交通运输部科学研究院

交通运输研究

CSTPCD
影响因子:0.941
ISSN:1002-4786
年,卷(期):2024.10(1)
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