Abstract
dc:description.abstractIn addition to operators who pick scheduled service duties, transit agencies have a separate group of operators to cover work that becomes open due to absence or other unexpected situations. This group of operators are referred to collectively as the extraboard. Another way to cover the open work is through operator overtime. Therefore, a central challenge of the extraboard planning problem lies in the uncertainty of the amount of the work that will need to be covered, as well as the extent of operators' willingness to work overtime. Due to the critical importance of service reliability, transit agencies seek a systematic approach to schedule extraboard operators to minimize a weighted cost of lost service, overtime, and extraboard operators. This thesis proposes a methodology that systematically addresses the extraboard scheduling problem, focusing on a case study using data from the Massachusetts Bay Transportation Authority (MBTA).
Degree
thesis:*- Name thesis:degree_name
- Master
- Department dc:contributor.department
- Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
- Grantor dc:publisher
- Massachusetts Institute of Technology
- Year dc:date.issued
- 2020
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Wang, Qing Yi,S.M.Massachusetts Institute of Technology.
- Advisor dc:contributor.advisor
-
- Nigel H. M. Wilson and Haris N. Koutsopoulos.
Subjects
dc:subject × 1Rights
dc:rights- Statement dc:rights
-
- MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.
- Licence dc:rights.uri
- Language dc:language.iso
- eng
Identifiers
dc:identifier.*- Handle dc:identifier.uri
- https://hdl.handle.net/1721.1/128995
- OAI identifier oai:identifier
- oai:dspace.mit.edu:1721.1/128995