loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Felipe de Souza 1 ; Krishna Murthy Gurumurthy 2 ; Joshua Auld 1 and Kara M. Kockelman 2

Affiliations: 1 Argonne National Laboratory, 9700 Cass Avenue, Lemont, IL, U.S.A. ; 2 Department of Civil, Architectural and Environmental Engineering, University of Texas at Austin, Austin, TX, U.S.A.

Keyword(s): Shared Autonomous Vehicles, Repositioning, Agent-based Simulation, POLARIS, Bloomington.

Abstract: With the emergence of autonomous technology, shared autonomous vehicles (SAVs) will potentially be the prevalent transportation mode for urban mobility. On one hand, relying on SAV fleets can provide several operational benefits. On the other hand, SAVs can increase travel distance and add congestion due to unoccupied trips such as pickup and repositioning trips. One important aspect for a SAV fleet’s success is to serve the incoming requests at reasonably low waiting time. This is achieved by an adequate fleet size that is spatially distributed thoughtfully so that incoming requests can be served by a nearby vehicle. Unfortunately, it is challenging to keep a satisfactory spatial distribution of vehicles due to imbalances in the origin and destination patterns of incoming requests. This paper focuses on the impact of SAV relocation on traveler wait times using a novel optimization-based algorithm for repositioning. POLARIS, an agent-based tool, is used for a case study of Bloomingto n, Illinois to quantify the benefits of allowing SAV repositioning. On average, the wait times were around 20% 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, enabling repositioning led to a higher share of demands being served. These benefits, however, are achieved at the expense of 6% added vehicles miles traveled. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 107.23.85.179

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
de Souza, F.; Gurumurthy, K.; Auld, J. and Kockelman, K. (2020). An Optimization-based Strategy for Shared Autonomous Vehicle Fleet Repositioning. In Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS; ISBN 978-989-758-419-0; ISSN 2184-495X, SciTePress, pages 370-376. DOI: 10.5220/0009421603700376

@conference{vehits20,
author={Felipe {de Souza}. and Krishna Murthy Gurumurthy. and Joshua Auld. and Kara M. Kockelman.},
title={An Optimization-based Strategy for Shared Autonomous Vehicle Fleet Repositioning},
booktitle={Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS},
year={2020},
pages={370-376},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009421603700376},
isbn={978-989-758-419-0},
issn={2184-495X},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS
TI - An Optimization-based Strategy for Shared Autonomous Vehicle Fleet Repositioning
SN - 978-989-758-419-0
IS - 2184-495X
AU - de Souza, F.
AU - Gurumurthy, K.
AU - Auld, J.
AU - Kockelman, K.
PY - 2020
SP - 370
EP - 376
DO - 10.5220/0009421603700376
PB - SciTePress