STOCHASTIC MODEL FOR THE TEMPORAL DISTRIBUTION OF TRAFFIC DEMAND -- THE PEAK HOUR PROBLEM

A mechanism by which commuters select their departure time from home is suggested and, based on this, a method is proposed for predicting the temporal distribution of traffic demand during the peak period. The model developed is based on the assumption that the commuters wish to arrive at work at a particular time without being delayed for too long in the system. This model proposes an iterative procedure by which to obtain the distribution of a commuter's departure time from home, assuming that he tries to minimize the total cost.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/1767714
• Corporate Authors:

  Operations Research Society of America

  428 East Preston Street
  Baltimore, MD  United States  21202
• Authors:
  • Alfa, A S
  • Minh, D L
• Publication Date: 1979-11

Media Info

• Features: References;
• Pagination: p. 315-324
• Serial:
  • Transportation Science
  • Volume: 13
  • Issue Number: 4
  • Publisher: Institute for Operations Research and the Management Sciences (INFORMS)
  • ISSN: 0041-1655
  • Serial URL: http://transci.journal.informs.org/

Subject/Index Terms

• TRT Terms: Iterative methods; Mathematical methods; Mathematical models; Operations research; Peak hour traffic; Stochastic processes; Traffic distribution; Transportation; Travel patterns; Work trips
• Subject Areas: Planning and Forecasting; Transportation (General); I10: Economics and Administration;

Filing Info

• Accession Number: 00331344
• Record Type: Publication
• Source Agency: Engineering Index
• Files: TRIS
• Created Date: Aug 15 1981 12:00AM