Abstract

Fuzzy logic is shown to be a very promising mathematical approach for modelling traffic and transportation processes characterized by subjectivity, ambiguity, uncertainty and imprecision. The basic premises of fuzzy logic systems are presented as well as a detailed analysis of fuzzy logic systems developed to solve various traffic and transportation planning problems. Emphasis is put on the importance of fuzzy logic systems as universal approximators in solving traffic and transportation problems. This paper presents an analysis of the results achieved using fuzzy logic to model complex traffic and transportation processes.

Highlights

  • Transportation planning is a wide human-oriented field with diverse and challenging problems waiting to be solved

  • The primary goal of this paper is the applications of fuzzy logic in traffic and transportation engineering, and to indicate the directions for future research in this area

  • Since the fuzzy set theory recognizes the vague boundary that exists in some sets, different fuzzy set theory techniques need to be used in order to properly model traffic and transportation problems characterized by ambiguity, subjectivity and uncertainty.Some applications of Fuzzy Logic in transport planning are discussed below

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Summary

INTRODUCTION

Transportation planning is a wide human-oriented field with diverse and challenging problems waiting to be solved. Hard computing models can not deal effectively with the transport decision-makers’ ambiguities and uncertainties. In the past several decades a variety of deterministic and stochastic models have been developed to solve complex traffic and transportation engineering problems. These mathematical models use different formulae and equations to solve such problems. When solving real-life engineering problems, linguistic information is often encountered that is frequently hard to quantify using ‘classical’ mathematical techniques. This linguistic information represents subjective knowledge (linguistic information). The primary goal of this paper is the applications of fuzzy logic in traffic and transportation engineering, and to indicate the directions for future research in this area

FUZZY LOGIC SYSTEMS FOR TRANSPORTATION
Trip generation
Trip distribution
Modal split
C Transit rs
Traffic assignment
Fuzzy Sets of Perceived Link Travel Time
Fuzzy Traffic Assignment
CONCLUSION
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