Robust adaptation of the train speed for energy saving under punctaulity and security constraints

Autor:	Nespoulous, Julien, Soize, Christian, Fünfschilling, Christine, Perrin, Guillaume
Přispěvatelé:	SNCF : Innovation & Recherche, SNCF, Laboratoire Modélisation et Simulation Multi-Echelle (MSME), Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Centre National de la Recherche Scientifique (CNRS)-Université Gustave Eiffel, Département Composants et Systèmes (COSYS), Université Gustave Eiffel, Soize, Christian
Jazyk:	angličtina
Rok vydání:	2022
Předmět:	[SPI]Engineering Sciences [physics] train speed energy saving [SPI] Engineering Sciences [physics] uncertainty quantification [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST] Robust optimization [MATH.MATH-ST] Mathematics [math]/Statistics [math.ST]
Zdroj:	MASCOT-NUM 2022 MASCOT-NUM 2022, Jun 2022, Clermont Ferrand, France
Popis:	International audience
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::b98f95cdcc9367b34f9d287916d1634c https://hal.archives-ouvertes.fr/hal-03749632 Zobrazit plný text záznamu