SCHEDULE SYNCHRONIZATION IN PUBLIC TRANSIT USING THE FUZZY ANT SYSTEM

The average waiting times of passengers making transfers are the direct consequence of schedule synchronization. When producing a synchronized schedule it is necessary to try to minimize the total waiting time of all passengers at transfer nodes in a transit network. The model for schedule synchronization developed in this paper is based on the Ant Colony System and Fuzzy Logic, called the Fuzzy Ant System. The model developed here is based on an only approximately known nember of transfer passengers.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/1767712
• Corporate Authors:

  Taylor & Francis

  4 Park Square, Milton Park
  Abingdon,   United Kingdom  OX14 4RN
• Authors:
  • Teodorovic, D
  • Lucic, P
• Publication Date: 2005-2

Language

• English

Media Info

• Features: Figures; References; Tables;
• Pagination: p. 47-76
• Serial:
  • Transportation Planning and Technology
  • Volume: 28
  • Issue Number: 1
  • Publisher: Taylor & Francis
  • ISSN: 0308-1060
  • Serial URL: http://www.tandf.co.uk/journals/titles/03081060.html

Subject/Index Terms

• TRT Terms: Fuzzy logic; Public transit; Schedules and scheduling; Synchronous control; Uncertainty
• Uncontrolled Terms: Ant colony optimization
• Subject Areas: Operations and Traffic Management; Public Transportation;

Filing Info

• Accession Number: 00988194
• Record Type: Publication
• Files: TRIS
• Created Date: Mar 21 2005 12:00AM