TY - DATA
T1 - SORTEDMOBILITY: Input data case studies for EGTRAIN rail traffic simulator
PY - 2024/07/04
AU - Egidio Quaglietta
AU - Konstantinos Rigos
AU - William  Busuttil
UR - 
DO - 10.4121/e78d0dc2-3123-4510-a2c5-7ad017a02e33.v1
KW - self-organising rail traffic
KW - Microscopic rail network characteristics
KW - rail traffic simulation
KW - railway systems
KW - rail transport
KW - decentralised operations
N2 - <p>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.</p><p>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).</p><p><br></p><p><a href=" https://www.sortedmobility.eu/fileadmin/contributeurs/SORTEDMOBILITY/Files/WP5/D51_CaseStudyDescription.pdf" target="_blank"><u>SORTEDMOBILITY project Deliverable D5.1: Case study description, document code: SY-WP5-D1, May 2022.</u></a></p>
ER -