计算机工程2025，Vol.51Issue(9)：38-48,11.DOI:10.19678/j.issn.1000-3428.0069842
基于模糊调度策略的无信号交叉路口车辆控制研究
Research on Vehicle Control at Unsignalized Intersections Based on Fuzzy Scheduling Strategy
摘要
Abstract
This study proposes a traffic strategy to improve the efficiency of vehicles passing through unsignalized intersections under vehicle-infrastructure cooperation,with the objectives of reducing vehicle acceleration change rate and target vehicle travel time.The study establishes a vehicle road collaboration scenario,divides dynamic conflict areas and static conflict areas,defines model input parameters,constructs a vehicle traffic sequence model and vehicle motion state control model,and verifies the effectiveness of the models through SIMULINK simulation.In common and special traffic scenarios,the strategy reduces the average maximum acceleration change rate during the vehicle deceleration phase by 17.27％and 45.95％,average amplitude of vehicle acceleration change by 37.06％and 38.89％,average maximum acceleration by 37.53％and 48.2％,and average travel time by 41.33％and 44.31％,respectively.In addition,compared to similar algorithms in the literature,this strategy optimizes the average travel time by 42.82％and average vehicle speed by 45.8％.The optimization effect is significant,and both indicators are more balanced.Simultaneously,the vehicle speed does not fluctuate frequently,and the ride comfort improves.Therefore,this strategy significantly improves overall traffic efficiency without much sacrifice to the comfort performance of partial vehicles.关键词
车路协同/通行策略/冲突区域/模糊控制/决策模型Key words
vehicle-infrastructure cooperation/traffic strategy/conflict areas/fuzzy control/decision-making model分类
信息技术与安全科学引用本文复制引用
刘斌,李轶群,史博,任延凯,洪俊,李秀华..基于模糊调度策略的无信号交叉路口车辆控制研究[J].计算机工程,2025,51(9):38-48,11.基金项目
重庆市技术创新与应用发展专项重大项目(CSTB2023TIAD-STX0035) （CSTB2023TIAD-STX0035）
西部(重庆)科学城智能网联汽车示范区建设项目(50000120221121001030101). （重庆）
