A Markov Process Model for Capacity Constrained Transit Assignment

Representing the finite capacity constraints of vehicles in a transit assignment model, for networks where the vehicle capacities are small and the buses do not operate timetables, requires an accurate representation of the impacts on passenger costs and flows as well as their day-to-day variability. This paper presents a composite frequency-based and schedule-based Markov process model for transit assignment that considers the day-to-day dynamics of the transit network, whereby line frequencies are used to parameterize distributions of vehicle arrivals and the passenger flows are constrained to the individual vehicle capacities. A proof of the model’s Markov property and regularity, its sensitivity to some parameters are presented using a test network.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780080453750
• Supplemental Notes:
  • Abstract reprinted with permission from Elsevier.
• Corporate Authors:

  Elsevier

  Linacre House, Jordan Hill
  Oxford,   United Kingdom  OX2 8DP
• Authors:
  • Teklu, Fitsum
  • Watling, David
  • Connors, Richard D
• Conference:
  • Transportation and Traffic Theory 2007. Papers Selected for Presentation at ISTTT17
  • Location: London , England
  • Date: 2007-7-23 to 2007-7-25
• Publication Date: 2007

Language

• English

Media Info

• Media Type: Print
• Features: Figures; References; Tables;
• Pagination: pp 483-505
• Monograph Title: Transportation and Traffic Theory 2007

Subject/Index Terms

• TRT Terms: Highway capacity; Markov chains; Public transit; Timetables; Traffic assignment; Transit operating agencies; Transit vehicle operations
• Uncontrolled Terms: Transit networks; Transit vehicles
• Subject Areas: Highways; Planning and Forecasting; Public Transportation;

Filing Info

• Accession Number: 01076729
• Record Type: Publication
• ISBN: 9780080453750
• Files: TRIS
• Created Date: Sep 21 2007 1:55PM