Resofret
Vladimir Koltchanov,
Christian Reynaud and
Patrice Salini ()
Additional contact information
Vladimir Koltchanov: EMSYSS - Emergent System Simulation solutions - EMSYSS - Emergent System Simulation Solutions
Christian Reynaud: Observatoire économique et statistique des transports, NESTEAR
Patrice Salini: Chercheur indépendant
Working Papers from HAL
Abstract:
ResoFret had a twofold objective. On the one hand, the aim was to advance the economic analysis of the potential for using the existing rail network to offer attractive combined transport services. In this regard, the starting point—working from the "Corail" network and then modifying it to create a coherent, "modelable" system—represented a departure from the conventional approach to studying combined transport. On the other hand, the aim was to advance the use of simulation tools—specifically AnyLogic, a software package enabling multi-agent modeling. The approach adopted here was to simulate the entire network and subject it to "realistic" demand—that is, demand that varies according to the day, time of day, and, of course, origin-destination pairs.
Keywords: Simulation; Multi-agent; Réseau Ferroviaire; Fret (search for similar items in EconPapers)
Date: 2008-12
Note: View the original document on HAL open archive server: https://hal.science/hal-05676523v1
References: Add references at CitEc
Citations:
Published in PREDIT - Programme National de Recherche, d’Expérimentation et d’Innovation dans les Transports terrestres, DRAST - Ministère de l’Ecologie, du Développement et de l'Aménagemenent Durable, IPRAUS - UMR AUSser. 2008
Downloads: (external link)
https://hal.science/hal-05676523v1/document (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:hal:wpaper:hal-05676523
Access Statistics for this paper
More papers in Working Papers from HAL
Bibliographic data for series maintained by CCSD ().