A rational approach to handling fuzzy perceptions in route choice

34Citations
Citations of this article
39Readers
Mendeley users who have this article in their library.
Get full text

Abstract

The purpose of this paper is to develop a heuristic way for handling fuzzy perceptions in explaining route choice behavior from behavioral point of view. A hybrid model where route choice decision making is described in a hierarchy uses concepts from fuzzy logic and the analytical hierarchy process (AHP) is proposed for making possible a more proper description of route choice behavior in transportation systems. Teodorovic and Kikuchi's [Transportation route choice model using fuzzy inference technique, Paper presented at the First International Symposium on: Uncertainty Modeling and Analysis: Fuzzy Reasoning, Probabilistic Models, and Risk Management, University of College Park, Maryland, 1990, p. 140] fuzzy 'if-then' rules are adopted to represent a typical driver's psychology for capturing essential preferences, pairwise, among alternatives that a driver may consider. The AHP is then incorporated in this model to capture the imaginary psychological process that represent underlying observable behavior to estimate drivers' preference allotment among the alternatives. This new procedure is applied in a real world sample based on stated values of subjects. Findings show that this method provides intuitively and statistically promising results. © 2004 Elsevier B.V. All rights reserved.

Cite

CITATION STYLE

APA

Arslan, T., & Khisty, J. (2006). A rational approach to handling fuzzy perceptions in route choice. In European Journal of Operational Research (Vol. 168, pp. 571–583). Elsevier. https://doi.org/10.1016/j.ejor.2004.04.043

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free