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自动驾驶汽车(AV)时代的停车即乘:私人到共享的自动驾驶汽车传输系统.pdf

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1、Conference on Innovations in Travel Analysis and PlanningSession B3:Sustainability and Multimobility(June 5,2023,at 3:30 PM)Conference on Innovations in Travel Analysis and Planning1.Research Background2.Methodology3.Case Study4.Discussions382030Conference on Innovations in Travel Analysis and Plann

2、ingMotivationPAV-SAV Transfer SystemResearch QuestionsConference on Innovations in Travel Analysis and Planning Park-and-ride(PNR)system-Private vehicle-to-public transit-Implemented since 1960s-Low-density suburbs(high-capacity transit are unreachable)urban core(#of private vehicles needs to be con

3、trolled)-Park,walk,wait,and ride Inconvenient With autonomous vehicles(AVs)-Waitand ride-Privately owned AV(PAV)to shared-ride AV(SAV)We suggest a new PAV-SAV transfer systemQuality of ServiceCapacityTaxiFixed-route transitDemand-responsive busRidesharingVanpoolConference on Innovations in Travel An

4、alysis and Planning SOV travelers have two options:PAV-only and PAV-SAV transfer system-Each SOV traveler has a person trip:origin-to-destination trip.-Each person tripconsists of one or multiple vehicle trips.-A vehicle trip can be either:origin-to-destination(Option 1,PAV),ororigin-to-station(Opti

5、on 2,PAV),station-to-destination(Option 2,SAV),or destination-to-destination(Option 2,SAV)trip.Conference on Innovations in Travel Analysis and PlanningTransfer StationConference on Innovations in Travel Analysis and Planning How many travelers would use the PAV-SAV transfer system?How much can the

6、PAV-SAV transfer system reduce VMT and congestion?What is the optimal,or at least a good,design for the PAV-SAV transfer system?Conference on Innovations in Travel Analysis and PlanningSystem ConfigurationProblem FormulationSolution ApproachConference on Innovations in Travel Analysis and PlanningPA

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本文主要研究了一种新的停车换乘系统(PAV-SAV Transfer System),该系统结合了私人自动驾驶车辆(PAV)和共享自动驾驶车辆(SAV),旨在减少车辆里程(VMT)和缓解交通拥堵。研究背景是洛杉矶地区,该地区人口众多,高速公路网络发达,但同时交通拥堵严重。 研究方法包括建立数学模型,模拟不同场景下的交通流量和模式选择,并使用Python和TransCAD等工具进行数据分析。研究结果表明,PAV-SAV Transfer System可以在高峰时段减少高达25,000人次的出行,减少288,000车辆里程和30,000车辆小时,特别是在市中心区域。 研究还发现,该系统的最佳设计应考虑车站位置、目的地区域聚类和车辆载客量等因素。此外,该模型未考虑设施建设和土地成本、SAV的返回车辆需求以及非机动出行模式等因素。 总体而言,PAV-SAV Transfer System是一种有潜力的交通管理工具,可以有效减少交通拥堵和车辆里程,但其设计和实施需要综合考虑多种因素。
自动驾驶车辆如何改变停车换乘系统? PAV-SAV换乘系统能减少多少拥堵? 优化PAV-SAV换乘系统的设计有哪些建议?
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