SORTEDMOBILITY: Input data case studies for EGTRAIN rail traffic simulator

doi:10.4121/e78d0dc2-3123-4510-a2c5-7ad017a02e33.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/e78d0dc2-3123-4510-a2c5-7ad017a02e33
Datacite citation style:
Quaglietta, Egidio; Rigos, Konstantinos; Busuttil, William (2024): SORTEDMOBILITY: Input data case studies for EGTRAIN rail traffic simulator. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/e78d0dc2-3123-4510-a2c5-7ad017a02e33.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset

Input data for the microscopic rail traffic simulator EGTRAIN to support impact assessment of self-organising rail traffic management algorithms developed in the EU-ERANET project SORTEDMOBILITY.

Input data provide infrastructure and signalling details of the railway network, train timetables and routes used for three case studies, namely in Italy (Pioltello-Rovato), France (an example of single-track line in the North of France) and Denmark (portion of the Copenhagen rail network).


SORTEDMOBILITY project Deliverable D5.1: Case study description, document code: SY-WP5-D1, May 2022.

history
  • 2024-07-04 first online, published, posted
publisher
4TU.ResearchData
format
txt
funding
  • Horizon 2020 (grant code 850626) European Union
organizations
Universite' Gustaive Eiffel
TU Delft, Faculty of Civil Engineering and Geosciences, Department of Transport and Planning
Denmark Technical University (DTU)
Institute of cognitive sciences and technologies - Consiglio Nazionale delle Ricerche (ISTC-CNR)
BaneDanmark
Société Nationale des Chemins de fer Français (SNCF)
Rete Ferroviaria Italiana (RFI)

DATA

files (2)