FUZZY LOGIC SYSTEMS FOR TRANSPORTATION ENGINEERING: THE STATE OF THE ART

This paper presents a classification and analysis of the results achieved using fuzzy logic to model complex traffic and transportation processes. Fuzzy logic is shown to be a very promising mathematical approach to modeling 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 engineering problems. Emphasis is put on the importance of fuzzy logic systems as universal approximators in solving traffic and transportation problems. Possibilities are shown regarding the further application of fuzzy logic in this field.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/09658564
• Corporate Authors:

  Elsevier

  The Boulevard, Langford Lane
  Kidlington, Oxford  United Kingdom  OX5 1GB
• Authors:
  • Teodorovic, D
• Publication Date: 1999-6

Language

• English

Media Info

• Features: Figures; References;
• Pagination: p. 337-364
• Serial:
  • Transportation Research Part A: Policy and Practice
  • Volume: 33
  • Issue Number: 5
  • Publisher: Elsevier
  • ISSN: 0965-8564
  • Serial URL: http://www.sciencedirect.com/science/journal/09658564

Subject/Index Terms

• TRT Terms: Classification; Fuzzy logic; Real time control; State of the art studies; Traffic models; Transportation engineering
• Subject Areas: Highways; Operations and Traffic Management; I71: Traffic Theory;

Filing Info

• Accession Number: 00765462
• Record Type: Publication
• Files: TRIS, ATRI
• Created Date: Jun 1 1999 12:00AM