Fuzzy Logic–Based Travel Demand Model to Simulate Public Transport Policies

Abstract

Four-stage travel demand modeling comprises of trip generation, trip distribution, mode choice, and traffic assignment. Limitations of conventional four-stage models are that they do not take into account subjectivity, imprecision, ambiguity, and vagueness involved in human decisions. In this direction, fuzzy logic is found to be the most suitable technique because it considers linguistic variables and expressions. Keeping this in view, the present study proposes to develop a methodology to consider fuzzy logic technique at different stages to develop travel demand models. The fuzzy logic–based travel demand models are developed in