汽车工程学报2026，Vol.16Issue(3)：371-380,10.DOI:10.3969/j.issn.2095-1469.2026.03.04
车路协同条件下十字路口自动驾驶决策方法
Decision-Making Method for Autonomous Vehicles at Urban Intersections in a Vehicle-Road Cooperative Environment
摘要
Abstract
This study aims to develop an effective decision-making method for autonomous driving to enhance traffic efficiency and safety at urban intersections.The traffic scenarios at intersections in a vehicle-road cooperative environment were modeled and analyzed based on a deep reinforcement learning algorithm.The decision-making model was trained and optimized through simulation experiments and was validated in a simulated urban intersection scenario using simulation software.The simulation results show an average efficiency improvement of 23.7％.The proposed decision-making method exhibits good application performance,effectively enhancing traffic efficiency and intersection safety.关键词
车路协同/自动驾驶/安全性/深度强化学习Key words
vehicle-road collaboration/autonomous driving/safety/deep reinforcement learning分类
交通工程引用本文复制引用
熊明强,谯杰,邢文博,申鹏鹏,陈琴,毕文武,龙春林,曹诗琪..车路协同条件下十字路口自动驾驶决策方法[J].汽车工程学报,2026,16(3):371-380,10.基金项目
广西新能源汽车实验室专项(桂科AA23062088) （桂科AA23062088）
