AI-driven dynamic timetable optimization for the Casablanca-Mohammedia-Rabat commuter railway
PurposeThis study aims to investigate how artificial intelligence can enhance the resilience and efficiency of railway timetables in disruption-prone commuter corridors. Specifically, it focuses on Moroccan railway networks connecting Casablanca, Mohammedia, and Rabat, where recurrent delays and con...
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| Главные авторы: | , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Emerald Publishing
2026-05-01
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| Серии: | Railway Sciences |
| Предметы: | |
| Online-ссылка: | https://www.emerald.com/rs/article-pdf/5/4/473/11624587/rs-02-2026-0011en.pdf |
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