Bayesian Dynamic Model of Generalized Trip Cost Based on Traveler Perception

Research on trip choice has been a hotspot in the area of traffic science. Daily trip choice behavior can be regard as a reiterative process and each choice represent a process during which travelers’ experience accumulated. The consequence of each choice will affect the next trip choice and the most direct one is the influence on the change of generalized trip cost traveler perceived. Therefore, the generalized trip cost traveler perceived is defined as the gist of the choice on trip mode and trip route and Bayesian dynamic model of generalized trip cost based on traveler perception is established in this paper.