Prediction of travel times is a vital function of many advanced traveler information systems. In this study, an experimental analysis of the relationship between instantaneous travel time and real travel time is carried out and a method to predict freeway travel times using a linear model is proposed. The proposed method is applied to a data set of the Hanshin Expressway. The implementation pro...

Along a transit line, vehicle traffic and passenger traffic are jointly subject to variability in travel time and vehicle load hence crowding. The paper provides a stochastic model of passenger physical time and generalized time, including waiting on platform and in-vehicle run time from access to egress station. Five sources of variability are addressed: (i) vehicle headway which can vary betw...

In the context of logistics and transportation, this paper discusses how simheuristics can be extended by adding a fuzzy layer that allows us to deal with complex optimization problems both stochastic uncertainty. This hybrid approach combines simulation, metaheuristics, logic generate near-optimal solutions large scale NP-hard typically arise in many transportation activities, including vehicl...

Although many individual route choice models have been proposed to incorporate travel time variability as a decision factor, they are typically still deterministic in the sense that the optimal strategy requires choosing one particular route that maximizes utility. In contrast, this study introduces an individual route choice model where choosing a portfolio of routes instead of a single route ...