Railway systems are vulnerable to unexpected disruptions, which usually result in track blockages for a few hours. In practice, disruptions are handled manually and the resulting impact to passengers is rarely considered. To enable disruption management more efficiently, operator-friendly and passenger-friendly, this thesis develops mathematical models and solution methods for dynamic passenger assignment, timetable rescheduling, and the integrated passenger assignment with timetable rescheduling during disruptions.
|Qualification||Doctor of Philosophy|
|Award date||16 Dec 2019|
|Publication status||Published - Dec 2019|
Bibliographical noteTRAIL Thesis Series no. T2019/16, The Netherlands TRAIL Research School
- Disruption management
- Timetable rescheduling
- Passenger assignment