Ideal Stochastic Dynamic Route Choice Models

Abstract

Dynamic route guidance systems are being developed to inform and guide drivers regarding their best departure times and routes so as to avoid congestion delay. However, some drivers may not rely on the information provided by the route guidance system to adjust their departure times and routes. Furthermore, drivers without navigation systems do not have perfect information on the network traffic and must use their own experience and perception of current traffic conditions to make travel decisions. Thus, there is a need to develop dynamic route choice models under imperfect as well as perfect information.