An efficient evaluation scheme for KPIs in regulated urban train systems

Bruno Adeline 1 Pierre Dersin 1 Eric Fabre 2 Loïc Hélouët 2 Karim Kecir 2
1 Alstom Transport - Alstom Transport
2 SUMO - SUpervision of large MOdular and distributed systems
Inria Rennes – Bretagne Atlantique , IRISA_D4 - LANGAGE ET GÉNIE LOGICIEL
Abstract : This paper considers evaluation of Key Performance Indicators (KPIs) for urban train systems equipped with regulation algorithms. We describe an efficient simulation model that can represent a network, animate metros, and integrate existing regulation schemes as black boxes. This macroscopic model allows efficient simulation of several hours of networks operations within a few seconds. We demonstrate the capacities of this simulation scheme on a case study and show how statistics can be derived during simulation campaigns. We then discuss possible improvements to increase accuracy of models.
Keywords : Key Performance Indicators simulation metro networks regulation
Type de document :
Communication dans un congrès
Alessandro Fantechi; Thierry Lecomte; Alexander Romanovsky. RSSRail 2017 - International Conference on reliability, safety, and security of railway systems, Nov 2017, Pistoia, Italy. Springer, pp.195-211, Lecture Notes in Computer Science. 〈https://conferences.ncl.ac.uk/rssrail/〉
Liste complète des métadonnées

Littérature citée [9 références]  Voir  Masquer  Télécharger
https://hal.inria.fr/hal-01646919
Contributeur : Loic Helouet <>
Soumis le : jeudi 23 novembre 2017 - 22:16:38
Dernière modification le : jeudi 7 février 2019 - 14:38:00

Fichier

RSSRAIL.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : hal-01646919, version 1

Collections

UNIV-RENNES1 | INRIA | IRISA | INRIA2017 | UR1-UFR-ISTIC | UNIV-RENNES | CENTRALESUPELEC

Citation

Bruno Adeline, Pierre Dersin, Eric Fabre, Loïc Hélouët, Karim Kecir. An efficient evaluation scheme for KPIs in regulated urban train systems. Alessandro Fantechi; Thierry Lecomte; Alexander Romanovsky. RSSRail 2017 - International Conference on reliability, safety, and security of railway systems, Nov 2017, Pistoia, Italy. Springer, pp.195-211, Lecture Notes in Computer Science. 〈https://conferences.ncl.ac.uk/rssrail/〉. 〈hal-01646919〉

Exporter

BibTeX TEI DC DCterms EndNote

Partager

Métriques

Consultations de la notice

515

Téléchargements de fichiers

63

Contact


archive-ouverte@inria.fr