Abstract
With high frequency and unavoidable disruptions, metro systems are nowadays undertaking great emphasis on disruption management. This paper proposes a mixed integer programming model for train rescheduling in high-frequency metro systems during partial blockages. Several train rescheduling strategies are formulated into the model that considers station capacity and rolling stock circulation. The model is applied to a busy line of the Shanghai metro network. The computation time meets the real-time application requirement. The case study presents different influences of various disruption scenarios and emergency train constraints on the optimal solution.
Original language | English |
---|---|
Title of host publication | Proceedings of the 8th International Conference on Railway Operations Modelling and Analysis |
Subtitle of host publication | Rail Norrköping 2019 |
Editors | Anders Peterson, Martin Joborn, Markus Bohlin |
Pages | 1105-1127 |
Number of pages | 23 |
Publication status | Published - 2019 |
Event | Rail Norrköping 2019: The 8th International Conference on Railway Operations Modelling and Analysis - Linköping University, Norrköping, Sweden Duration: 17 Jun 2019 → 20 Jun 2019 https://www.railnorrkoping2019.org/ |
Conference
Conference | Rail Norrköping 2019: The 8th International Conference on Railway Operations Modelling and Analysis |
---|---|
Abbreviated title | ICROMA |
Country/Territory | Sweden |
City | Norrköping |
Period | 17/06/19 → 20/06/19 |
Internet address |
Keywords
- Metro
- Train rescheduling
- Mixed integer programming
- Rolling stock circulation
- Partial blockages