Autonomous vehicle parking policies: A case study of the City of Toronto
Autonomous Vehicles (AVs) can eliminate the burden of finding a parking spot upon arrival to the destination. AVs can park at a strategic location or cruise until summoned by their users. In this study, the authors investigate AV users’ parking decision considering their cost and time constraints. Each users’ decision has impacts on congestion which can change feasible options of other users. Hence, the authors use an agent-based simulation model to study AV parking policies. Results show that travelers consider sending their vehicles to park at home if they have to pay to use a parking facility. Also, the authors' analysis for downtown Toronto shows that AVs would travel on average 12 min and a maximum of 47 min to park in cheaper parking lots. The authors also find that assigning the same parking price across all the parking facilities would exacerbate the congestion by motiving more AVs to cruise instead of choosing the closest parking lot. However, the authors show that a toll for zero-occupant AVs leads to a tradeoff between parking cost and distance that would decrease the VKT by 3.5% in downtown Toronto.
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- Record URL:
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/09658564
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Supplemental Notes:
- © 2021 Sina Bahrami and Matthew Roorda. Published by Elsevier Ltd. Abstract reprinted with permission of Elsevier.
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Authors:
- Bahrami, Sina
- Roorda, Matthew
- Publication Date: 2022-1
Language
- English
Media Info
- Media Type: Web
- Features: Figures; References; Tables;
- Pagination: pp 283-296
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Serial:
- Transportation Research Part A: Policy and Practice
- Volume: 155
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 0965-8564
- Serial URL: http://www.sciencedirect.com/science/journal/09658564
Subject/Index Terms
- TRT Terms: Autonomous vehicles; Case studies; Costs; Parking; Policy; Tolls; Traffic congestion; Vehicle miles of travel
- Geographic Terms: Toronto (Canada)
- Subject Areas: Finance; Highways; Operations and Traffic Management; Policy; Vehicles and Equipment;
Filing Info
- Accession Number: 01830135
- Record Type: Publication
- Files: TRIS
- Created Date: Dec 15 2021 4:56PM