APPROXIMATE REASONING MODELS FOR ROUTE CHOICE BEHAVIOR IN THE PRESENCE OF INFORMATION

This paper presents a new methodological framework for addressing route choice decisions. The proposed methodology models perceptions of network attributes using fuzzy set theory, and the decision process using concepts from approximate reasoning and fuzzy control. The underlying assumptions are that motorists do not have precise knowledge of network conditions and that they use rules to make decisions. A case study is presented to demonstrate the feasibility of the proposed methodology.

• Supplemental Notes:
  • Publication Date: 1993 Published By: Elsevier, Amsterdam
• Corporate Authors:

  BKS, Inc.

  ,    

  Massachusetts Institute of Technology

  Department of Civil Engineering, 77 Massachusetts Avenue
  Cambridge, MA  United States  02139

  University of Oxford

  Transport Studies Unit, 11 Bevington Road
  Oxford,   United Kingdom  OX2 6NB
• Authors:
  • Lotan, Tsippy
  • Koutsopoulos, Haris N
• Conference:
  • International Symposium on the Theory of Traffic Flow and Transportation ( 12th : 1993 : Berkeley, Calif.). Transportation and traffic theory
• Publication Date: 1993

Language

• English

Media Info

• Pagination: p. 71-88

Subject/Index Terms

• TRT Terms: Route choice

Filing Info

• Accession Number: 00785007
• Record Type: Publication
• Source Agency: UC Berkeley Transportation Library
• Files: PATH, ATRI
• Created Date: Nov 17 2000 12:00AM