<b>Rolling Stock Scheduling Algorithm for Temporary Timetable After Natural Disaster</b>
This paper focuses on rolling stock scheduling after a large-scale natural disaster. In general, a temporary timetable is generated when sections of a line are partially disrupted by damage caused by the natural disaster. The next step is to generate a rolling stock schedule that is as close as possible to the original schedule at the time of timetable revision. We propose a two-phase rolling stock scheduling algorithm based on a mathematical programming method to cope with the temporary timetable. In addition, we confirm that the proposed algorithm can produce a practical rolling stock schedule in terms of evaluation criteria and computational time.
Authors
- Satoshi Kato (ORCID: https://orcid.org/0000-0001-7947-9664)
- Jun Imaizumi (ORCID: https://orcid.org/0000-0002-7093-5739)
- Taichi Nakahigashi
- Tatsuya Kokubo
Institutions
- Toyo University (JP)
- Systems Technology (United States) (US)
Publication Details
- Journal
- Quarterly Report of RTRI
- Published
- 2024-08-01
- DOI
- https://doi.org/10.2219/rtriqr.65.3_182
- Citations
- 1
- Primary Topic
- Advanced Manufacturing and Logistics Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.35