A Study of Modeling Travelers' Route Choice Behavior and Information Release Strategy

It is a rational assumption that travelers would not be completely in compliance with the guidance by advanced traveler information systems (ATIS). This paper presents a dynamic programming model for investigating the day-to-day receiving and adjusting process to the information released by ATIS. The dynamic model aims at seeking an optimal information release strategy for minimizing the overall disutility and a logit-based route choice is given on the base of adjusted travel times by travelers. The model is also an optimal control model and solved by solving a series of sequential programs. Numerical results are presented to show that there exists an optimal information release strategy that can drive the flow pattern to a system optimum.