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.
Original languageEnglish
QualificationDoctor of Philosophy
Awarding Institution
Thesis sponsors
  • China Scholarship Council
Award date16 Dec 2019
  • TRAIL Resarch School
Print ISBNs978-90-5584-259-9
Publication statusPublished - Dec 2019

    Research areas

  • Railways, Disruption management, Timetable rescheduling, Passenger assignment

ID: 67047712