A QUANTITATIVE EVALUATION OF SERVICE-DEPENDABILITY MODELING APPROACHES FOR AUTOMATED GUIDEWAY TRANSIT

Automated guideway transit (AGT) systems, which are intended to operate without vehicle and station personnel, are controlled remotely from a central operations area. Such an operational concept has focused the attention of system planners and designers on the impact of equipment malfunctions and the means for adapting system operations to carry on service in the face of a malfunction, while simultaneously removing the cause of the malfunction and restoring normal service. Dependability modeling attempts to develop quantitative relationships that express the effects on passenger service brought about by network configuration, operations policy, equipment malfunction characteristics, and recovery-system design characteristics. The purpose of this study is to provide a quantitative assessment of several different types of models to identify their applicability, data requirements, and computational cost. A case-study approach was used whereby a specific test scenario was defined, and each model to be evaluated was applied to the scenario. Quantitative comparisons require that the models provide estimates of the same set of performance measures and be executed in a similar computer environment. The modeling approaches were modified to meet this requirement, were programmed in the PL/1 language, and were operated as executable load modules on the IBM 360/91 computer to obtain computational cost estimates.

  • Corporate Authors:

    Johns Hopkins University, Laurel

    Applied Physics Laboratory, 11100 Johns Hopkins Road
    Laurel, MD  USA  20723-6099

    Urban Mass Transportation Administration

    400 7th Street, SW
    Washington, DC  USA  20590
  • Authors:
    • Roesler, W J
    • Haberman, S
    • Chiu, H Y
  • Publication Date: 1979-5

Media Info

  • Pagination: 117 p.

Subject/Index Terms

Filing Info

  • Accession Number: 00199123
  • Record Type: Publication
  • Source Agency: National Technical Information Service
  • Report/Paper Numbers: APL/JHU-CP-071TPR043Tech Rpt., UMTA-MD-06-0025-79-1
  • Contract Numbers: DOT-UT-70036
  • Files: NTIS, TRIS, USDOT
  • Created Date: Dec 19 1982 12:00AM