| 注册
首页|期刊导航|计算机应用研究|车路协同下的无信号交叉口车辆通行调度策略

车路协同下的无信号交叉口车辆通行调度策略

张方忆 彭景阳 李磊 王文格

计算机应用研究2024,Vol.41Issue(7):2087-2092,6.
计算机应用研究2024,Vol.41Issue(7):2087-2092,6.DOI:10.19734/j.issn.1001-3695.2023.11.0544

车路协同下的无信号交叉口车辆通行调度策略

Vehicle traffic scheduling strategy at unsignalized intersections under vehicle road coordination

张方忆 1彭景阳 1李磊 1王文格1

作者信息

  • 1. 湖南大学机械与运载工程学院,长沙 410082
  • 折叠

摘要

Abstract

The vehicle traffic scheduling problem at unsignalized intersections is the research focus in the field of intelligent transportation.Because the solution space of vehicle traffic order decision problem increases exponentially with the increase of the number of vehicles,finding the optimal traffic sequence while ensuring the real-time performance has become a major prob-lem for traffic scheduling at unsignalized intersections.To solve this problem,this paper proposed a vehicle traffic scheduling method at unsignalized intersections based on adaptive Monte Carlo tree search algorithm,which used a hierarchical frame-work,upper level centralized sequential decision-making,and lower level distributed trajectory planning.Firstly,the intersec-tion model based on the conflict point was established,the connected vehicles were added to the queue to be searched,the Monte Carlo tree search process of the traffic sequence was designed according to the vehicle traffic characteristics in the inter-section,the evaluation function was established with the total traffic time as the index,and then the adaptive exploration coef-ficient and other super parameters were designed for different traffic situations,so that the algorithm could maintain the best state in solving different vehicle numbers and different search periods.In the trajectory planning process,the acceleration two norm was taken as the objective function,and the speed,acceleration and the position of the starting point were taken as con-straints to establish the optimal control proposition to solve the vehicle trajectory.Finally,experiments were carried out,and the results show that compared with other algorithms,the maximum optimization amplitude of this algorithm in numerical simu-lation and micro platform experiment is 33.42%and 38.04%respectively,which provides an effective solution for vehicle traffic scheduling at unsignalized intersections.

关键词

智能交通/无信号交叉口车辆通行调度/蒙特卡罗树搜索/智能网联车/微缩平台

Key words

intelligent transportation/unsignalized intersection vehicle traffic scheduling/Monte Carlo tree search(MCTS)/connected automatic vehicle(CAV)/miniature platform

分类

交通工程

引用本文复制引用

张方忆,彭景阳,李磊,王文格..车路协同下的无信号交叉口车辆通行调度策略[J].计算机应用研究,2024,41(7):2087-2092,6.

计算机应用研究

OA北大核心CSTPCD

1001-3695

访问量0
|
下载量0
段落导航相关论文