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作 者:蒋林锡 吴伟[1] 秦少敏 JIANG Linxi;WU Wei;QIN Shaomin(Traffic and Transportation Engineering College,Changsha University of Science&Technology,Changsha 410014,China;Changde City Road Network Monitoring and Emergency Affairs Center,Changde 415000,China)
机构地区:[1]长沙理工大学交通运输工程学院,湖南长沙410114 [2]常德市路网监测与应急事务中心,湖南常德415000
出 处:《交通科学与工程》2023年第5期139-148,共10页Journal of Transport Science and Engineering
基 金:国家自然科学基金面上项目(61773077);湖南省研究生科研创新项目(CX20210744)。
摘 要:为提高道路交叉口在自动驾驶车辆和常规驾驶车辆混行交通流环境下的通行能力,在交叉口设置自动驾驶专用车道、常规驾驶专用车道以及混合驾驶车道,基于车道布设和信号配时,以交叉口通行能力最大化为目标,建立优化模型,并对其进行求解。研究结果表明:该模型通过设置相应的车道及信号配时,能有效地提高交叉口的通行能力。该研究还对交通流量中自动驾驶车辆所占比例、自动驾驶专用道的车头时距及常规驾驶专用道的车头时距进行了敏感度分析,这些结果也表明该模型能适用于多种不同的交通状况。该研究可为类似混行交通流下单交叉口的车道布设与信号配时提供参考。In order to improve the traffic capacity of the intersection under the mixed traffic flow environment of autonomous vehicles and regular vehicles,the maximum traffic capacity of the intersection is set as the objective function.Then dedicated lanes for autonomous driving,dedicated lanes for regular driving and mixed driving lanes are set up in the intersection.Moreover,this paper establishes an optimization model based on lane layout and signal timing,and solves it.The research results show that the model in this paper can effectively improve the traffic capacity of the intersection by setting corresponding lanes and performing signal timing.The sensitivity analysis of the proportion of autonomous vehicles in the traffic flow,the headway of the dedicated lane for autonomous driving and the headway of the dedicated lane for human driving show that the proposed model can be applied to a variety of different traffic conditions.
分 类 号:U491[交通运输工程—交通运输规划与管理]
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