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原文传递 Multiagent Spatial Simulation of Autonomous Taxis for Urban Commute: Travel Economics and Environmental Impacts
题名: Multiagent Spatial Simulation of Autonomous Taxis for Urban Commute: Travel Economics and Environmental Impacts
其他题名: Aini,A.,and A.Salehipour.2012."Speeding up the Floyd-Warshall algorithm for the cycled shortest path problem."Appl.Math.Lett.25(1):1-5.https://doi.org/10.1016/j.aml.2011.06.008.
正文语种: 英文
作者: Miaojia Lu
关键词: Autonomous vehicle;Commute travel;Multiagent simulation;Environmental impact
摘要: With the likelihood of autonomous vehicle technologies in public transport and taxi systems increasing, their impact on commuting in real-world road networks is insufficiently studied. In this study, an agent-based model is developed to simulate how commuters travel by autonomous taxis (aTaxis) in real-world road networks. The model evaluates the travel costs and environmental implications of substituting conventional personal vehicle travel with aTaxi travel. The proposed model is applied to the city of Ann Arbor, Michigan, to demonstrate the effectiveness of aTaxis. The results indicate that to meet daily commute demand with wait times less than 3 min, the optimized autonomous taxi fleet size is only 20% of the conventional solo-commuting personal car fleet. Commuting cost decreases by 38%, and daily vehicle utilization increases from 14 to 92 min When using internal combustion engine aTaxis, energy consumption, greenhouse gas (GHG) emissions, and SO_2 emissions are respectively 16, 25, and 10% higher than conventional solo commuting, mainly because of unoccupied repositioning between trips. Given the emission intensity of the local electricity grid, the environmental impacts of electric aTaxis do not show significant improvement over conventional vehicles.
出版年: 2018
论文唯一标识: P-84Y2018V144N04006
英文栏目名称: TECHNICAL PAPERS
doi: 10.1061/(ASCE)UP.1943-5444.0000469
期刊名称: Journal of Urban Planning and Development
拼音刊名(出版物代码): P-84
卷: 144
期: 04
页码: 49-60
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