PASSENGER TRANSPORTATION SCHEDULING

This dissertation presents a method for developing near optimal timetables for the operation of fixed schedule passenger transportation systems. The establishment of efficient operating policies for existing systems is clearly desirable. Furthermore, the ability to compute optimal schedules for drawing board systems is required in the consideration of planning alternatives for future transportation investments. Here, timetable optimization is accomplished by maximizing an objective function consisting of three basic components: operating costs, revenues, and traveler benefits. Traveler benefits are computed using a consumer preference model that specifies a traveler's willingness to pay for alternative trips, based on the scheduling of those trips. The optimization is based on successive iterations of a dynamic programming algorithm that develops timetables for each vehicle in the system. Solutions are termed optimal to within a "first-order passenger exchange." Examples are presented to illustrate the utilization of the methodology for computing information relevant to the development of system operating policies and the consideration of planning alternatives. Finally, an analysis is developed for the problem of choosing among proposed alternative transportation systems in the face of uncertainty about traveler demand and preference behavior.

  • Corporate Authors:

    National Bureau of Standards

    Gaithersburg, MD  USA 
  • Authors:
    • Young, D
  • Publication Date: 1969-6

Subject/Index Terms

Filing Info

  • Accession Number: 00074254
  • Record Type: Publication
  • Source Agency: FLIGHT TRANSPORTATION LABORATORY, MIT DEPT. OF AERONAUTICS AND ASTRONAUTICS
  • Report/Paper Numbers: 10 049
  • Files: TRIS
  • Created Date: Sep 5 1974 12:00AM