Optimal Fuzzy Approach: Transportation Modelling

Abstract

The paper presents a classification and analysis of the results achieved using fuzzy logic to the model of transportation and traffic problems. In the recent years, research has been focused to estimating and techniques to help solve different engineering, management, control and computational problems. Natural systems teach us that very simple individual organisms can form system capable of performing highly tasks by dynamically interacting with each other. The main goal of the paper is to show how we can use fuzzy optimization approach when solving traffic and transportation. The fuzzy Ant system described in the paper represents an attempt to handle the uncertainty that sometimes exists in transportation problems. The potential application of the fuzzy Ant system in the field of traffic and transportation are discussed. The basic premises of fuzzy logic systems are presented as well as detailed analysis of fuzzy logic system developed to solve various traffic and transportation problems.