Multi-modal Transportation System Dynamics with Park-and-ride and Adaptive Pricing

This study models and manages a multi-region and multi-modal transportation system, given that travelers can adjust their mode choices from day to day, and traffic dynamics in the network revolve within day. In particular, it considers that the city network can be partitioned into two regions: the city center and the periphery.There are park-and-ride facilities located at the boundary of the city center. For travelers living in the periphery, they can either drive to the city center, or take public transit, or drive to the park-and-ride facilities and then transfer to public transit.For travelers living in the city center, they can either drive or take public transit. Travelers can“learn” from their experience, as well as information about traffic conditions, thus will adjust their choices. It follows that the dynamic traffic pattern (within day) in the city network will evolve over (calendar) time (day to day).To improve traffic efficiency in the network, the authors propose to update parking pricing (or congestion pricing) from period-to-period (e.g., one period can be one month), which is adaptive to system state. The proposed approach is practical and suitable for implementation in large-scale networks, and can help to reduce total social cost effectively.

  • Supplemental Notes:
    • This paper was sponsored by TRB committee AHB45 Standing Committee on Traffic Flow Theory and Characteristics.
  • Corporate Authors:

    Transportation Research Board

    500 Fifth Street, NW
    Washington, DC  United States  20001
  • Authors:
    • Liu, Wei
    • Geroliminis, Nikolas
  • Conference:
  • Date: 2017


  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References; Tables;
  • Pagination: 18p
  • Monograph Title: TRB 96th Annual Meeting Compendium of Papers

Subject/Index Terms

Filing Info

  • Accession Number: 01628111
  • Record Type: Publication
  • Report/Paper Numbers: 17-01528
  • Files: TRIS, TRB, ATRI
  • Created Date: Mar 7 2017 10:25AM