• DocumentCode
    2371335
  • Title

    Scheduling multiple vehicle mobility allowance shuttle transit (m-MAST) services

  • Author

    Lu, Wei ; Lu, Lu ; Quadrifoglio, Luca

  • Author_Institution
    Zachry Dept. of Civil Eng., Texas A&M Univ., College Station, TX, USA
  • fYear
    2011
  • fDate
    5-7 Oct. 2011
  • Firstpage
    125
  • Lastpage
    132
  • Abstract
    The mobility allowance shuttle transit (MAST) system is an innovative hybrid transit system in which vehicles are allowed to deviate from a fixed route to serve flexible demand. In this paper, we develop an insertion heuristic that economically inserts the deviation requests into the schedule for multiple-vehicle MAST system, which has never been addressed in the literature. The proposed heuristic is validated and evaluated by a set of simulations performed at different demand levels and with different control parameters. By comparing its performance versus the optimal solutions, the effectiveness and quality of the heuristic is confirmed. Compared to its single-vehicle counterpart, the multiple-vehicle MAST prevails in terms of rejection rate, passenger waiting time and overall objective function, among other performance indices.
  • Keywords
    scheduling; transportation; hybrid transit system; insertion heuristic; m-MAST; passenger waiting time; scheduling multiple vehicle mobility allowance shuttle transit; Arrays; Artificial neural networks; Heuristic algorithms; Neodymium; Optimization; Schedules; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Transportation Systems (ITSC), 2011 14th International IEEE Conference on
  • Conference_Location
    Washington, DC
  • ISSN
    2153-0009
  • Print_ISBN
    978-1-4577-2198-4
  • Type

    conf

  • DOI
    10.1109/ITSC.2011.6083083
  • Filename
    6083083