Dynamic data driven approaches for stochastic delay propagation avoidance in railways (DADA)
Closing event featuring Professor Franceso Corman, Dr. Thomas Spanninger, Matej Jusup, Viera Klasovitá and Dr. Bernardo Martin-Iradi from ETH Zurich, Professor Alessio Trivella from the University of Twente and Dr. Mayra Bermudez from SBB.
Date, time and venue
Friday, 31 May 2024 09:00-13:00
HIL E 3, ETH Hönggerberg, Zurich
Downloads
- Download F. Corman: DADA - Dynamic data driven Approaches for stochastic Delay propagation Avoidance in railways (PDF, 0.9MB)
- Download M. Jusup: Train routing without human-expert knowledge? (PDF, 1.4MB)
- Download V. Klasovitá, F. Corman: Stochasticity in line planning and time tabling (PDF, 0.6MB)
- Download B. Martin-Iradi, F. Corman, N. Geroliminis: Capacity planning for demand-responsive multimodal transit (PDF, 2.3MB)
- Download A. Trivella: Optimization of energy and transport systems (PDF, 4.6 MB)
- Download M. Bermudez Contreras: Delay data analysis on event activity graph, by examples (PDF, 1.9 MB)
Further information
- Project website
- external page SNF data portal