COMMUNITY TRANSPORT: POLICY, PLANNING, PRACTICE. CHAPTER 9: DEMAND-RESPONSIVE VEHICLE SCHEDULING: GROUPING TRIPS BY FUZZY SIMILARITY

This chapter describes a method which groups trips for scheduling demand responsive transport vehicles using fuzzy similarity. It is intended to be used as a data processor before an existing two-stage scheduling method is used. The need for a grouping method is discussed and the proposed method presented. A two-stage scheduling model is then introduced and the grouping method applied. Two schedules are then compared, one using the proposed method and the other without using it. A reduction in computation time and improvements in the quality of service and the frequency of operations is demonstrated. For the covering abstract see IRRD 875321.

  • Availability:
  • Corporate Authors:

    GORDON AND BREACH PUBLISHERS

    3 BOULEVARD ROYAL
    LUXEMBOURG,   Luxembourg  L-2449
  • Authors:
    • Kikuchi, S
    • Vukadinovic, N
  • Publication Date: 1995

Language

  • English

Media Info

  • Features: References;
  • Pagination: p. 199-221
  • Serial:

Subject/Index Terms

Filing Info

  • Accession Number: 00720714
  • Record Type: Publication
  • Source Agency: Transport Research Laboratory
  • ISBN: 2-88449-044-2
  • Files: ITRD
  • Created Date: May 24 1996 12:00AM