• DocumentCode
    910684
  • Title

    Computer models for AGT system operations studies

  • Author

    Dooley, Thomas ; Priver, Arthur S.

  • Author_Institution
    U. S. Department of Transportation, Cambridge, MA
  • Volume
    28
  • Issue
    1
  • fYear
    1979
  • fDate
    2/1/1979 12:00:00 AM
  • Firstpage
    2
  • Lastpage
    10
  • Abstract
    The major functions, inputs, and outputs of the seven computer models developed during the Automated Guideway Transit (AGT) System Operations Studies (SOS) project are described. The models were designed to provide tools to enable the transportation community to analyze the operation of AGT systems in the complete spectrum of deployments. Three analytic models are described: the feeder system model, which determines the cost and service characteristics of the non-AGT components of the door-to-door trip; the system cost model, which calculates annual and life cycle costs and environmental impacts; and the system availability model, which calculates the impact of failures and recovery times on passenger and vehicle delays in the network. Four simulation models are described: the discrete event simulation model, which models individual trips and vehicles on AGT networks for a wide range of management algorithms, service policies, and network configurations; the system planning model, which models vehicle and passenger flows on AGT networks; the detailed station model, which models individual vehicle and passenger movement in a station; and the detailed operational control model, which is a time step simulation that models individual or strings of vehicles on links, merges, or intersections.
  • Keywords
    Automation; Availability; Costs; Discrete event simulation; Failure analysis; Research and development; Scanning probe microscopy; Software tools; Transportation; Vehicles;
  • fLanguage
    English
  • Journal_Title
    Vehicular Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9545
  • Type

    jour

  • DOI
    10.1109/T-VT.1979.23764
  • Filename
    1622605