Solving the railway timetable rescheduling problem with graph neural networks
Abstract This study solves the train timetable rescheduling (TTR) problem from a brand-new perspective. We assume that train traffic controllers take three main actions, i.e., adjusting dwelling times, running times, and train orders, to reschedule the timetable in real-time dispatching. To raise th...
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| Hlavní autoři: | , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
SpringerOpen
2025-09-01
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| Edice: | Railway Engineering Science |
| Témata: | |
| On-line přístup: | https://doi.org/10.1007/s40534-025-00383-7 |
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