Multi-vehicle mobility allowance shuttle transit (MAST) system : an analytical model to select the fleet size and a scheduling heuristic.

Details

• Creators:
  Quadrifoglio, Luca ; Lu, Wei
• Corporate Creators:
  Texas Transportation Institute. University Transportation Center for Mobility
• Corporate Contributors:
  United States. Department of Transportation. Research and Innovative Technology Administration
• Subject/TRT Terms:
  • Hybrid vehicles
  • Hybrid automobiles
  • Scheduling
  • Mixed integer programming
  • Heuristic methods Hybrid transit
  • Scheduling
  • Mixed-integer programming
  • Heuristics
• Publication/ Report Number:
  UTCM 11-47-77
• Resource Type:
  Tech Report
• Geographical Coverage:
  Texas
• Edition:
  Final report; May 2011-May 2012.
• Corporate Publisher:
  Texas Transportation Institute. University Transportation Center for Mobility
• Abstract:
  The mobility allowance shuttle transit (MAST) system is a hybrid transit system in which vehicles are ; allowed to deviate from a fixed route to serve flexible demand. A mixed integer programming (MIP) ; formulation for the static scheduling problem of a multi-vehicle Mobility Allowance Shuttle Transit (MAST) ; system is proposed in this thesis. Based on the MIP formulation, we analyzed the impacts of time ; headways between consecutive transit vehicles on the performance of a two-vehicle MAST system. An ; analytical framework is then developed to model the performance of both one-vehicle and two-vehicle ; MAST systems, which is used to identify the critical demand level at which an increase of the fleet size ; from one to two vehicles would be appropriate. Finally, a sensitivity analysis is conducted to find out the ; impact of a key modeling parameter, w1, the weight of operations cost on the critical demand. ; In this research, we developed an insertion heuristic for a multi-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 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.
  More +
• Format:
  PDF
• Funding:
  DTRT06-G-0044
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/24597/dot_24597_DS1.pdf
• File Type:
  [PDF - 828.20 KB]
• Collection(s):
  University Transportation Centers ; US Transportation Collection
• Main Document Checksum:
  urn:sha-512:5673a348b6f86cbea7b8b0da4986a816250e57e54e42dd2c5015f5c37761e0f84fed349605dca526fcb5625f715773835aa400692aebc199310f4059557ace79