Day-to-day Dynamic Traffic Assignment Model with Variable Message Signs and Endogenous User Compliance

This paper proposes a dual-time-scale, day-to-day dynamic traffic assignment model that takes into account variable message signs (VMS) and their interactions with drivers’ travel choices and adaptive learning processes. The within-day dynamic is captured by a dynamic network loading problem with en route update of path choices influenced by the VMS; the day-to-day dynamic is captured by a simultaneous route-and-departure-time adjustment process that employs bounded user rationality. Moreover, the authors describe the evolution of the VMS compliance rate by modeling drivers’ learning processes. The authors endogenize traffic dynamics, route and departure time choices, travel delays, and VMS compliance, and thereby capture their interactions and interdependencies in a holistic manner. A case study in the west end of Glasgow is carried out to understand the impact of VMS on road congestion and route choices in both the short and long run. The main findings include an adverse effect of the VMS on the network performance in the long run (the “rebound” effect), and existence of an equilibrium state where both traffic and VMS compliance are stabilized.

  • Supplemental Notes:
    • This paper was sponsored by TRB committee ADB30 Transportation Network Modeling.
  • Corporate Authors:

    Transportation Research Board

    500 Fifth Street, NW
    Washington, DC  United States  20001
  • Authors:
    • Han, Ke
    • Mascia, Margherita
    • North, Robin
    • Hu, Simon
    • Eve, Gabriel
  • Conference:
  • Date: 2015

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References; Tables;
  • Pagination: 17p
  • Monograph Title: TRB 94th Annual Meeting Compendium of Papers

Subject/Index Terms

Filing Info

  • Accession Number: 01557756
  • Record Type: Publication
  • Report/Paper Numbers: 15-4798
  • Files: TRIS, TRB, ATRI
  • Created Date: Mar 25 2015 12:01PM