Understanding and Modeling Bus Transit Driver Availability

Two mathematical programming models with probabilistic constraints are developed to determine daily optimal back-up, or extraboard, size for bus transit (driver availability and deployment) while incorporating reliability and risk measures in the decision making process. Two distinct solution approaches are proposed. The first approach uses p-level efficient point (pLEPs) as the solution methodology and the second approach uses second order stochastic dominance constraints. The models were tested using long-term data obtained from three Tri-County Metropolitan Transportation District of Oregon (TriMet) garage. The individual performance of both models under different cost assumptions is evaluated and actual historical assignments are compared with the optimal solutions obtained from these models. The results reveal possible improvements of extra driver size for one of the three garages studied. These models can be easily used in a computerized environment to assist agencies in efficient decision-making, which is also illustrated using a simulation procedure developed for comparison with observed driver assignment data.


  • English

Media Info

  • Media Type: Digital/other
  • Edition: Final Report
  • Features: Appendices; Figures; References; Tables;
  • Pagination: 57p

Subject/Index Terms

Filing Info

  • Accession Number: 01539257
  • Record Type: Publication
  • Report/Paper Numbers: CA-MNTRC-14-1140, MNTRC Report 12-26
  • Contract Numbers: DTRT-12-G-UTC21
  • Created Date: Aug 7 2014 1:34PM