01557756

Component

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.

This paper was sponsored by TRB committee ADB30 Transportation Network Modeling.

01550057

15-4798

English

17p

2015

Transportation Research Board 94th Annual Meeting

Digital/other

Figures; References; Tables

Case studies; Compliance; Departure time; Drivers; Dynamic traffic assignment; Learning; Route choice; Traffic congestion; Variable message signs

Glasgow (Scotland)

Highways; Operations and Traffic Management; I73: Traffic Control

Transportation Research Board Annual Meeting 2015 Paper #15-4798

TRIS, TRB, ATRI

Dec 30 2014 1:36PM