用自动驾驶汽车按需出行取代个人出行——柏林和斯图加特的可持续评估模拟

Q2 Engineering
G. Fournier, Adrian Boos, R. Wörner, Ines Jaroudi, I. Morozova, Eliane Horschutz Nemoto
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引用次数: 8

摘要

我们当前的交通模式日益面临城市地区的经济、生态和社会限制。本文的目的是分析共享自动驾驶电动汽车(aev)车队能否在满足私人内燃机汽车(ICEVs)当前要求的同时,应对这些挑战。因此,已经开发了分析模型来模拟和调查柏林和斯图加特(德国)的移动行为的影响。利用收集到的数据,计算了不同共享电动汽车的车队规模、能耗、颗粒物排放、氮氧化物排放和碳足迹,并与私营电动汽车进行了比较。该方法表明,共享AEV车队系统可以降低城市的外部性(避免事故、交通拥堵、空闲空间、停车成本和生命周期损失),并为客户带来成本效益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Substituting individual mobility by mobility on demand using autonomous vehicles - a sustainable assessment simulation of Berlin and Stuttgart
Our current mobility paradigm increasingly faces economic, ecological, and social limits in urban areas. The aim of this paper is to analyse if a fleet of shared autonomous electric vehicles (AEVs) can meet these challenges while satisfying the current requirements of privately-owned internal combustion engine vehicles (ICEVs). Therefore, analytical models have been developed to simulate and investigate the impacts of mobility behaviour in Berlin and Stuttgart (Germany). The collected data were used to calculate the fleet size, the energy consumption, the emission of particulate matter, nitrogen oxides, and the carbon footprint of different shared AEVs in comparison with privately owned ICEVs. The approach shows that the system of a shared AEV fleet could lower externalities (accident avoidance, traffic jams, free spaces, parking costs and lifetime losses) in cities and generate cost benefits for customers.
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来源期刊
CiteScore
2.70
自引率
0.00%
发文量
28
期刊介绍: IJATM is a vehicle to provide a refereed and authoritative source of information in the field of automotive technology, automotive management and related disciplines.
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