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原文传递 Anticipating the Regional Impacts of Connected and Automated Vehicle Travel in Austin, Texas

题名：	Anticipating the Regional Impacts of Connected and Automated Vehicle Travel in Austin, Texas
其他题名：	Chen,D.,J.Hanna,and K.M.Kockelman.2016."Operations of a shared,autonomous,electric vehicle(SAEV)fleet:Implications of vehicle&charging infrastructure decisions."Transp.Res.Part A 94:243-254.https://doi.org/10.1016/j.tra.2016.08.020.
正文语种：	英文
作者：	Yong Zhao
关键词：	Travel-demand modeling;Connected and autonomous vehicles;Shared autonomous vehicles;Travel behavior
摘要：	Automated vehicles are undergoing very rapid development and have potential to revolutionize the existing transportation system. This paper investigates the impacts of connected automated vehicles (CAVs) and shared automated vehicles (SAVs) using a conventional travel-demand model for the Austin, Texas, region. A series of eight test scenarios run in the year 2020 setting suggests that the introduction of CAVs and SAVs will add 20％ or greater demand for new vehicle-kilometers traveled (VKT) to the six-county region's roadway network. Relatively low values of travel time for passengers of automated vehicles and competitive pricing assumptions of SAV use result in greater demand for longer distance travel and reduced transit system use. Empty-vehicle travel for self-parking vehicles and SAVs will add to the network's VKT, presumably increasing roadway congestion further, unless rides can be shared, traffic flows smoothed, and intervehicle headways tightened. The scenario simulations are sensitive to parking cost and vehicle operating cost assumptions. Policymakers, transportation planners, system operators, and designers may do well to simulate additional scenarios.
出版年：	2018
论文唯一标识：	P-84Y2018V144N04005
英文栏目名称：	TECHNICAL PAPERS
doi：	10.1061/(ASCE)UP.1943-5444.0000463
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：	39-48