Synergies between repositioning and charging strategies for shared autonomous electric vehicle fleets
The emergence of on-demand shared autonomous electric vehicle (SAEV) service requires careful charging station planning and a joint charging and repositioning strategy to mitigate empty travel. This study couples charging and repositioning events as a means of improving service quality (rider wait times), reducing empty travel due to repositioning or charging, and improving fleet utilization (average daily trips per vehicle and charging queues). This synergy is explored for the Austin, Texas region using POLARIS, an agent-based model. On average, wait times were 39% lower, and average daily trips served per SAEV increased up to 6.4 (or 28%) compared to SAEV repositioning with heuristic charging. Coupling repositioning with charging decreased the fleet's percent empty travel on average by 1.6%, relative to the scenario treating them as independent events (which varies by charging station design). Sparser charging stations reduce investment costs, and operators can leverage this framework to keep traveler wait times low.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/13619209
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Supplemental Notes:
- © 2022 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
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Authors:
- Dean, Matthew D
- Gurumurthy, Krishna Murthy
- de Souza, Felipe
- Auld, Joshua
- Kockelman, Kara M
- Publication Date: 2022-7
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: 103314
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Serial:
- Transportation Research Part D: Transport and Environment
- Volume: 108
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 1361-9209
- Serial URL: http://www.sciencedirect.com/science/journal/13619209
Subject/Index Terms
- TRT Terms: Autonomous vehicles; Electric vehicle charging; Electric vehicles; Vehicle fleets; Vehicle sharing
- Subject Areas: Energy; Highways; Vehicles and Equipment;
Filing Info
- Accession Number: 01849229
- Record Type: Publication
- Files: TRIS
- Created Date: Jun 23 2022 9:16AM