打印

作者

来源

JOURNAL OF URBAN PLANNING AND DEVELOPMENT,Vol.144,Issue4

语言

英文

关键字

Travel-demand modeling; Connected and autonomous vehicles; Shared autonomous vehicles; Travel behavior; CHARGING INFRASTRUCTURE DECISIONS; OPERATIONS

作者单位

[Zhao, Yong] Jacobs Engn Grp, Strateg Consulting Div, 2705 Bee Cave Rd,Suite 300, Austin, TX 78746 USA. [Kockelman, Kara M.] Univ Texas Austin, Dept Civil Architectural & Environm Engn, Austin, TX 78712 USA. Kockelman, KM (reprint author), Univ Texas Austin, Dept Civil Architectural & Environm Engn, Austin, TX 78712 USA. E-Mail: yong.zhao@jacobs.com; kkockelm@mail.utexas.edu

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. (C) 2018 American Society of Civil Engineers.