A fuzzy route planning model for public transportation network

Abstract

A fuzzy route planning model based on preference degrees of stops is proposed in this study. The proposed model might also be evaluated as an intelligent system that simulates human behavior in selecting a stop to use in transportation aim. Definitions of fuzzy stop-stop, stop-line and line-line neighborhood relations are introduced. Some criteria such as the walking distance, the count of boarding at the stop and the count of lines passed through the stop are used to determine the fuzzy preference degree of a stop.