交通运输工程与信息学报2024，Vol.22Issue(1)：25-38,14.DOI:10.19961/j.cnki.1672-4747.2023.08.004
智能网联环境下单交叉口车辆轨迹优化
Trajectory optimization of vehicles at isolated intersection in a connected and automated environment
摘要
Abstract
To enhance traffic efficiency at signal lights from the perspective of reducing vehicle de-lay and minimizing fuel consumption,this study proposes a vehicle platoon identification algorithm and a Multi-objective Linear Programming Trajectory Optimization Model for Platoon-leading Vehi-cles(MOLP-pl).First,the Intelligent Driver Model(IDM)is improved to adjust the vehicle state,re-duce the differences in vehicle speed and headway distribution under random arrival conditions,and provide a prerequisite for the operation of the subsequent MOLP-pl trajectory optimization model.On this basis,the vehicle platoon identification algorithm is utilized to discern the leading and fol-lowing vehicles,with the trajectory of the former serving as the optimization objective for establish-ing a corresponding mathematical model.Then,the vehicle trajectory optimization model is linear-ized and reconstructed to enhance efficiency and accuracy.Subsequently,a Liner Solver is employed to determine the acceleration of the leading vehicle,facilitating the construction of an optimal spatio-temporal trajectory.The IDM model is utilized to calculate the speed of the following vehicles.The simulation experiments conducted using SUMO demonstrate that:1)The vehicle trajectory optimiza-tion algorithm proposed in this study can significantly improve traffic efficiency at intersections.Un-der three different levels of traffic saturation,vehicle delay reduced by 8.56%,12.42%,and 64.79%,while fuel consumption decreased by 17.21%,18.34%,and12.64%,respectively,compared to the sce-nario without vehicle speed guidance;2)The vehicle delay reduced by-1.31%,2.63%,and 60.83%respectively,while the fuel consumption decreased by 2.47%,7.91%,and 2.28%in comparison to the logic-based control strategy.关键词
智能交通/车辆轨迹优化/交通效率与能耗/编组识别/SUMOKey words
intelligent transportation/vehicle trajectory optimization/traffic efficiency and consump-tion/platoon identification/Simulation of Urban MObility分类
交通工程引用本文复制引用
冯红艳,康雷雷,刘澜..智能网联环境下单交叉口车辆轨迹优化[J].交通运输工程与信息学报,2024,22(1):25-38,14.基金项目
成都市重点研发支撑计划技术创新研发项目(2022-YF05-00302-SN) （2022-YF05-00302-SN）
国家自然科学基金项目(61873216) （61873216）
