Agent-Based Analysis of Urban Parking Space Reservation by Vehicle-to-Vehicle Communication

The aim of this paper is to study the impacts of a reservation system for on-street parking. Such a system provides drivers looking for on-street parking with information on available parking places, thereby possibly reducing the need to cruise for parking. The authors apply an agent-based model to study the impacts of such a reservation system in detail, for a range of situations. The results of the simulations show that users of a reservation system benefit in terms of reduced search time and reduced walking distance under all simulated circumstances. Furthermore, users of the reservation system have a substantially higher chance of finding a vacant parking spot within 10 minutes search time than regular cars. However, societal benefits are not as clear-cut. The benefit in search time for the users of the system comes at a cost for the regular drivers, which see a nearly identical increase in search time. In contrast, the positive impact on walking distance hardly influences walking distance for regular drivers. Hence, the introduction of a reservation system for on-street parking results in a more efficient distribution of available parking places among drivers searching for parking.

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

  Transportation Research Board

  500 Fifth Street, NW
  Washington, DC  United States  20001
• Authors:
  • Tasseron, Geert
  • Martens, Karel
• Conference:
  • Transportation Research Board 95th Annual Meeting
  • Location: Washington DC, United States
  • Date: 2016-1-10 to 2016-1-14
• Date: 2016

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: 15p
• Monograph Title: TRB 95th Annual Meeting Compendium of Papers

Subject/Index Terms

• TRT Terms: Distance; On street parking; Reservation systems; Time; Vehicular ad hoc networks
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management;

Filing Info

• Accession Number: 01592750
• Record Type: Publication
• Report/Paper Numbers: 16-2704
• Files: TRIS, TRB, ATRI
• Created Date: Mar 4 2016 5:05PM