The autonomous vehicle parking problem

Autonomous vehicles (AVs) have no need to park close to their destination, or even to park at all. Instead, AVs can seek out free on-street parking, return home, or cruise (circle around). Because cruising is less costly at lower speeds, a game theoretic framework shows that AVs also have the incentive to implicitly coordinate with each other in order to generate congestion. Using a traffic microsimulation model and data from downtown San Francisco, this paper suggests that AVs could more than double vehicle travel to, from and within dense, urban cores. New vehicle trips are generated by a 90% reduction in effective parking costs, while existing trips become longer because of driving to more distant parking spaces and cruising. One potential policy response—subsidized peripheral parking—would likely exacerbate congestion through further reducing the cost of driving. Instead, this paper argues that the rise of AVs provides the opportunity and the imperative to implement congestion pricing in urban centers. Because the ability of AVs to cruise blurs the boundary between parking and travel, congestion pricing programs should include two complementary prices—a time-based charge for occupying the public right-of-way, whether parked or in motion, and a distance- or energy-based charge that internalizes other externalities from driving.

• Record URL:
  https://doi.org/10.1016/j.tranpol.2019.01.003
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S0967070X18305924
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/29485010
• Supplemental Notes:
  • © 2019 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
• Authors:
  • Millard-Ball, Adam
  • 0000-0002-2353-8730
• Publication Date: 2019-3

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 99-108
• Serial:
  • Transport Policy
  • Volume: 75
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 0967-070X
  • Serial URL: http://www.elsevier.com/locate/issn/096707X

Subject/Index Terms

• TRT Terms: Autonomous vehicles; Congestion pricing; Game theory; Microsimulation; Parking
• Geographic Terms: San Francisco (California)
• Subject Areas: Finance; Highways; Operations and Traffic Management; Vehicles and Equipment;

Filing Info

• Accession Number: 01696649
• Record Type: Publication
• Files: TRIS
• Created Date: Feb 28 2019 9:40AM