Fuzzy Satisfaction Threshold of Route Travel Time Prediction

During last decades, many studies have been performed on the subject of route choice modeling. As a result, many models have been proposed from different realms of science like econometrics, economy, business and management, and mathematics. But a few models have considered the mechanism of route choice decision-making as a descriptive model considering the behavioral and psychological factors in traveler’s mode and route choice. That is, most of the proposed models are econometric ones working based on the utility theory. In this paper, we deal with route choice behavioral models and their importance in transportation network analysis, then we introduce “satisfaction threshold of travel time prediction” as key factor in route choice affecting considerably the trip making behavior. This threshold, which is a fuzzy unsymmetrical triangular number, is determined in this paper using two different approaches which are i) two point membership function construction and ii) multi point method. Finally, the degree of match between the real world experiment and the results derived by our methods are reported.