FP2-R2DATO D39.3: Demo specifications FP2-R2DATO advances rail safety and efficiency by supporting the development of...
Deliverables: Results Published in January 2026
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FP1 Motional at 14th World Congress on Railway Research presenting a Schedule-Based model on Timetable optimization
At WCRR 2025, Trenitalia presented a forward-thinking approach to railway planning that combines advanced optimization algorithms and data analytics. This methodology moves beyond traditional scheduling by integrating simulation tools and what-if analysis, enabling a systemic and predictive view of demand and supply dynamics.
The project tackles both mathematical and business challenges: creating a reliable, coherent service offer while leveraging complex models to improve connectivity without compromising operational constraints. By blending innovation with passenger-centric design, Trenitalia aims to support sustainable mobility and foster a barrier-free, multi-operator transport ecosystem.
This solution demonstrates how minimal adjustments to timetables can significantly enhance travel options, contributing to a more integrated and high-quality collective transport scenario.