A branch-and-price approach for solving the train unit scheduling problem
- Submitting institution
-
The University of Leeds
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- UOA11-63
- Type
- D - Journal article
- DOI
-
10.1016/j.trb.2016.09.007
- Title of journal
- Transportation Research Part B: Methodological
- Article number
- -
- First page
- 97
- Volume
- 94
- Issue
- -
- ISSN
- 0191-2615
- Open access status
- Access exception
- Month of publication
- September
- Year of publication
- 2016
- URL
-
https://dx.doi.org/10.1016/j.trb.2016.09.007
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
1
- Research group(s)
-
A - AC (Algorithms and Complexity)
- Citation count
- 13
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Details the novel algorithmic advances in an exact method achieving a practical solver(RS-Opt) for scheduling train units. Extensive industrial collaboration using real datasets and operational rules. Leeds University spinout Tracsis Plc(ICS: UOA11-1) secured customers for RS-Opt in 2019, with a requirement within an existing multimillion-pound contract to deliver optimised train unit scheduling with a strong emphasis on automation (chris.barnes@tracsis.com(CEO)). Once fully rolled-out, RS-Opt will be the first of its kind adopted for operational use in UK (and probably worldwide). The research will also benefit a much wider field in its branch-and-price approach and its multi-commodity network flow model.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
