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Shared autonomous vehicle fleet performance: Impacts of trip densities and parking limitations

机译:共享自主车辆舰队性能:旅行密度和停车限制的影响

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摘要

This study micro-simulates 2% and 5% of the region's 9.5 million daily person-trips and 20% of trips in the central Twin Cities with shared autonomous vehicles (SAVs) in the 7-county Minneapolis-Saint Paul region using MATSim to appreciate the effects of different trip-making densities and curb-use restrictions. Results suggest the average SAV in this region can serve at most 30 person-trips per day with less than 5 min average wait time, but generates 13% more vehicle-miles traveled (VMT). With dynamic ride-sharing (DRS), SAV VMT fell, on average, by 17% and empty VMT (eVMT) fell by 26%. Compared to idling-at-curb scenarios, parking restricted scenarios generated 8% more VMT. Relying on 52 mi/gallon hybrid electric SAVs, as opposed to a 31 mi/gallon conventional drivetrain SAV, is estimated to lower travelers' energy use by 21% and reduce tailpipe emissions by 30%, assuming no new or longer trips. Similarly, a 106 mi/gallon equivalent battery-electric fleet does much better by lowering energy use by 64%.
机译:本研究微量模拟该地区950万日的2%和5%的5%和5%的人旅行,在7县明尼阿波利斯 - 圣保罗地区的共用自治车辆中央驾驶中央的20%的旅行,使用Matsim欣赏不同旅行密度和路缘使用限制的影响。结果表明该地区的平均水力可以在每天30人旅行中服务,少于5分钟的平均等待时间,但是从旅行(VMT)的车辆里程增加13%。随着动态乘车共享(DRS),SAV VMT平均下跌17%,空VMT(EVMT)下降26%。与怠速遏制方案相比,停车受限场景产生8%的VMT。依靠52英里/加仑混合动力电动救护队,而不是31英里/加仑传统的动力传动系统SAV,估计为21%的旅行者的能源使用,并假设没有新的或更长的旅行,减少尾气排放量30%。同样,通过降低能量使用,106英里/加仑等效电池电动车队将更好地减少64%。

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