Application of Fuzzy Logic in Transport Planning

  • Sarkar A
N/ACitations
Citations of this article
129Readers
Mendeley users who have this article in their library.

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.

Cite

CITATION STYLE

APA

Sarkar, A. (2012). Application of Fuzzy Logic in Transport Planning. International Journal on Soft Computing, 3(2), 1–21. https://doi.org/10.5121/ijsc.2012.3201

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