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3302. Optimization model and algorithm of train timetable structure for train timetable resilience enhancement
Invited abstract in session TA-54: Resilience in Public Transport Planning, stream Public Transport Optimization.
Tuesday, 8:30-10:00Room: S01 (building: 101)
Authors (first author is the speaker)
| 1. | Ruyue Zhao
|
| BEIJING JIAOTONG UNIVERSITY | |
| 2. | Lingyun Meng
|
| State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University | |
| 3. | Xiaojie Luan
|
| Beijing Jiaotong University | |
| 4. | Zhengwen Liao
|
| School of Traffic and Transportation, Beijing Jiaotong University |
Abstract
For fully meeting the transportation demand, railway network has gradually become density and busy, making a close coupling relationship between trains. However, this leads to the severe delay propagation between trains, when disturbance occurs. And train timetable resilience gives timetable the ability to resist disturbances. The key to improve the resilience is to reduce the propagation of train delay, and the structure of train timetable plays a decisive role in this regard. And heterogeneity of train timetable is a key factor. When the heterogeneity is high, the timetable struc-ture is complicated, and once the disturbance occurs, it will constitute a complex delay propagation chain between trains. So, it is necessary to improve the resilience by optimization of timetable structure.
In this paper, we study the optimization of timetable structure towards the im-provement of resilience. And we take the maximum train timetable resilience as the objective function, construct an optimization model of train timetable structure and design a two-stage solution algorithm. Besides, the results of case studies show that the train timetable structure optimization model and algorithm we proposed is effective. And we further verify by simulation that timetable structure optimization method has a significant effect on improving the resilience.
Keywords
- Timetabling
- Programming, Multi-Objective
- Transportation
Status: accepted
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