Parking management of automated vehicles in downtown areas

Automated vehicles (AVs) eliminate the burden of finding a parking spot upon arrival to the destination, because they can park at a strategic location or cruise until summoned by their users. In this study, the authors investigate the parking choices of privately-owned AVs in a downtown area. Since each user’s choice has impacts on another via cruising-incurred traffic congestion and parking competition, the authors model the parking choice problem of AVs as a Wardrop equilibrium in which each user cannot further reduce their parking cost by unilaterally changing their choice. The model considers all possible options for parking a private AV, and finds that these parking choices may yield multiple equilibria under which the congestion and social welfare are very different. The authors further develop an efficient solution algorithm to find all equilibrium solutions. The authors' analysis shows that even if AVs act in a non-cooperative manner, one possible outcome would involve many AVs choosing to cruise, which creates severe congestion to decrease the cost of cruising. However, this outcome can be avoided by a time-based congestion toll, which discourages AVs from cruising for a long period and increases the social welfare. The authors' analysis also shows parking pricing and provision may not reduce congestion induced by cruising AVs without the help of a congestion toll.

• Record URL:
  https://doi.org/10.1016/j.trc.2021.103001
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S0968090X21000334
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/0968090X
• Supplemental Notes:
  • © 2021 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
• Authors:
  • Bahrami, Sina
  • Vignon, Daniel
  • Yin, Yafeng
  • Laberteaux, Ken
• Publication Date: 2021-5

Language

• English

Media Info

• Media Type: Web
• Features: Appendices; Figures; References; Tables;
• Serial:
  • Transportation Research Part C: Emerging Technologies
  • Volume: 126
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 0968-090X
  • Serial URL: http://www.sciencedirect.com/science/journal/0968090X

Subject/Index Terms

• TRT Terms: Autonomous vehicles; Central business districts; Parking; Tolls; Traffic congestion; Traffic equilibrium
• Subject Areas: Finance; Highways; Operations and Traffic Management; Vehicles and Equipment;

Filing Info

• Accession Number: 01770659
• Record Type: Publication
• Files: TRIS
• Created Date: Apr 28 2021 9:28AM