Parking Pricing and Design in the Morning Commute Problem with Regular and Autonomous Vehicles

Autonomous vehicles can profoundly change parking behavior in the future. Instead of searching for parking, autonomous vehicle owners get dropped off at their final destination and send their occupant-free cars to a parking spot. In this paper, the authors study the impact of parking in a biclass morning commute problem with autonomous and regular vehicles. The authors consider a spatial distribution of parking spaces, which allows us to capture the parking location of travelers. In the equilibrium condition, autonomous vehicles leave home later (than regular vehicles), and park farther away from their destination. The regular vehicle travelers, however, leave home sooner to park closer to the destination with a smaller walking distance. The reverse occurs if regular travelers abdicate walking and take a faster mode from their parking space to the city center. To optimize the system, the authors develop temporal and spatial parking pricing strategies and a new parking supply design scheme, as practical alternatives for the conventional dynamic congestion pricing.

• Supplemental Notes:
  • This paper was sponsored by TRB committee ABE50 Standing Committee on Transportation Demand Management.
• Corporate Authors:

  Transportation Research Board

  ,    
• Authors:
  • Nourinejad, Mehdi
  • Amirgholy, Mahyar
• Conference:
  • Transportation Research Board 98th Annual Meeting
  • Location: Washington DC, United States
  • Date: 2019-1-13 to 2019-1-17
• Date: 2019

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References;
• Pagination: 6p

Subject/Index Terms

• TRT Terms: Autonomous vehicles; Behavior; Congestion pricing; Equilibrium (Systems); Parking demand; Peak hour traffic; Peak periods; Travel demand management
• Subject Areas: Highways; Operations and Traffic Management; Vehicles and Equipment;

Filing Info

• Accession Number: 01697866
• Record Type: Publication
• Report/Paper Numbers: 19-01562
• Files: TRIS, TRB, ATRI
• Created Date: Mar 1 2019 3:51PM