Abstract
Unexpected disruptions occur in the railways on a daily basis, which are
typically handled manually by experienced trac controllers with the support of
predened contingency plans. When several disruptions occur simultaneously, it is
rather hard for trac controllers to make trac management decisions, because 1)
the predened contingency plans corresponding to these disruptions may con
ictwith each other and 2) no predened contingency plan considering the combined eects of all disruptions is available. This paper proposes a Mixed Integer Linear Programming (MILP) model that reschedules the timetable automatically in case of multiple simultaneous disruptions occurring at dierent geographic locations. This multiple-disruptions rescheduling model considers the interactions between service adjustments made for dierent disruptions. The combined multiple disruptions rescheduling model is applied every time an extra disruption occurs by considering all ongoing disruptions. Also, a sequential single-disruption rescheduling model is considered to handle each new disruption with the last solution as reference. A case study is performed by assuming two simultaneous disruptions occurring in part of the Dutch railways with 38 stations and 10 train lines operating half-hourly in each direction. By setting 3 minutes as the computation time limit in the considered disruption scenario, the combined approach resulted in less cancelled train services and train delays compared to the sequential approach.
typically handled manually by experienced trac controllers with the support of
predened contingency plans. When several disruptions occur simultaneously, it is
rather hard for trac controllers to make trac management decisions, because 1)
the predened contingency plans corresponding to these disruptions may con
ictwith each other and 2) no predened contingency plan considering the combined eects of all disruptions is available. This paper proposes a Mixed Integer Linear Programming (MILP) model that reschedules the timetable automatically in case of multiple simultaneous disruptions occurring at dierent geographic locations. This multiple-disruptions rescheduling model considers the interactions between service adjustments made for dierent disruptions. The combined multiple disruptions rescheduling model is applied every time an extra disruption occurs by considering all ongoing disruptions. Also, a sequential single-disruption rescheduling model is considered to handle each new disruption with the last solution as reference. A case study is performed by assuming two simultaneous disruptions occurring in part of the Dutch railways with 38 stations and 10 train lines operating half-hourly in each direction. By setting 3 minutes as the computation time limit in the considered disruption scenario, the combined approach resulted in less cancelled train services and train delays compared to the sequential approach.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of CASPT 2018 |
| Subtitle of host publication | 23-25 July, Brisbane, Australia |
| Number of pages | 20 |
| Publication status | Published - 2018 |
| Event | Caspt 2018: 14th Conference on Advanced Systems in Public Transport and TransitData 2018 - Brisbane Convention and Exhibition Centre, Brisbane, Australia Duration: 23 Jul 2018 → 25 Jul 2018 Conference number: 14 |
Conference
| Conference | Caspt 2018: 14th Conference on Advanced Systems in Public Transport and TransitData 2018 |
|---|---|
| Abbreviated title | CASPT 2018 |
| Country/Territory | Australia |
| City | Brisbane |
| Period | 23/07/18 → 25/07/18 |
Keywords
- Railways
- Timetable rescheduling
- Multiple disruptions