A Repositioning Method for Shared Autonomous Vehicles Operation

Conference · Wed Jan 01 04:00:00 EST 2020

DOI:https://doi.org/10.1016/j.procs.2020.03.154· OSTI ID:1756766

de Souza, Felipe; Murthy Gurumurthy, Krishna; Auld, Joshua; Kockelman, Kara M.

Shared fully-automated, or autonomous, mobility (SAVs) is anticipated to be the likely choice for future urban travel. SAVs boast many operational benefits but will add congestion in the form of unoccupied miles. The fleet's success further depends on service measures like the wait times for pickup trips. Agent-based simulation tools have closely looked at SAV operations but typically lack the integration between the supply and demand sides when simulating a population at scale. This paper focuses on the impact of SAV relocation on traveler wait times using a novel algorithm for repositioning. POLARIS, an agent-based tool, is used for a case study of Bloomington, Illinois to quantify the benefits of allowing SAV repositioning. On average, the wait times were lower with repositioning for all adequate fleet sizes. SAVs were available more uniformly across the region's zones, and proportional to trip-making at different times of day. In addition, with repositioning enable a higher share of demands were served. Finally, the increase in empty fleet miles from SAV repositioning may be justified with more trips being served, and an overall improvement in SAV wait times. (C) 2020 The Authors. Published by Elsevier B.V.

• Research Organization: Argonne National Laboratory (ANL)
• Sponsoring Organization: USDOE Office of Energy Efficiency and Renewable Energy (EERE) - Vehicle Technologies Office
• DOE Contract Number: AC02-06CH11357
• OSTI ID: 1756766
• Country of Publication: United States
• Language: English

Related Subjects

Agent-Based Simulation
Bloomington
POLARIS
Repositioning
Shared Autonomous Vehicles