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将车辆类型合并到基于活动的模型(ABM)中.pdf

上传人: c** 编号:464840 2025-01-12 26页 1.69MB

1、Incorporation of Vehicle Fleet Composition(VFC)in ABMPresented byBentley SystemsPeter Vovsha,Gaurav Vyas&Jim HicksandMaricopa Association of GovernmentsDaehyun You,Vladimir Livshits,Arup Dutta,Petya Maneva,Haidong Zhu&Kyunghwi JeonProject Motivation&ObjectivesConference on Innovations in Travel Anal

2、ysis and PlanningVehicle type new dimension in travel modelingLooking into future scenario planning Thinking forward and analysis of future scenarios since it is expected that vehicle fleet composition may change significantly EVs and/or small-size cars that are negligible%today may become dominant

3、in future and subject to strong government policies Important to ensure that multiple scenarios can be conveniently and consistently specified ABM should be sensitive to input assumptions such as operating cost by vehicle type Conference on Innovations in Travel Analysis and PlanningSpecification of

4、 car type dimensions of interestConference on Innovations in Travel Analysis and Planning3 fuel types6 body types2 automation levels3 age categoriesGas/dieselHybridElectric(EV)MotorcycleMiniRegularSUVVanPickupRegular(RV)New(03)Autonomous(AV)Med(47)Old(8+)18 car types for individual car segmentation

5、HH segmentation Reserved for futureObserved car type preferences reported in literatureConference on Innovations in Travel Analysis and PlanningVariableCar body/sizeFuel typeCar ageAutomation(SP)WorkerStudentRetiree Full-time worker,maleFemale,drive aloneFemale,escortingHigh incomeJoint travel,large

6、 partyDense urban areaSuburban&rural areasLonger&chained trips Park-and-Ride2 main aspects of HH car ownership Person car needs:Accessibility to the usual workplace or school(for workers and students)sensitive to fuel cost differences and Managed Lanes with restricted access by fuel type Every worke

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本文主要探讨了车辆类型在出行模式和交通规划中的重要性。研究强调了车辆类型对旅行成本、时间、排放以及家庭车辆拥有量的影响。文章提出了一个车辆组合模型,考虑了不同车辆类型(如摩托车、电动汽车、SUV等)以及车辆自动化水平,并将这些因素纳入到基于代理的模型中。研究还探讨了未来车辆类型分布的情景,如电动汽车的渗透率增加,以及这对高速公路速度和交通拥堵的影响。文章最后提出了未来研究方向,包括将车辆年龄作为出行决策的一个维度,以及通过迭代均衡方法整合不同选择,以实现个体层面的出行模式和车辆分配。关键数据包括:电动汽车在不同年份的渗透率预测,以及不同车辆类型在家庭车辆拥有量中的比例。
"车辆类型对出行选择的影响" "电动汽车和自动驾驶对车辆保有量的挑战" 电动化和自动化的影响"
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