Abstract
It is required to understand the driver's behavior accurately for construction of efficient traffic information systems. The route choice behavior models are constructed in this research focused on uncertainty of travel time information. The perceptive travel time of drivers and the traffic information can be regarded as the stochastic variables. On the basis of the Bayesian theorem, the perceptive travel time is changed by the offered travel time information. The model parameters are estimated by using SP survey data. The influences of uncertainty of travel time information to the driver's route choice behavior are studied.