Simulation-Based Rail Traffic Optimizations Applying Multicriterial Evaluations of Variants

Autor:	Michael Bažant, Antonín Kavička, Roman Diviš, Michal Varga
Jazyk:	angličtina
Rok vydání:	2019
Předmět:	traffic optimisation multicriteria decision making computer simulation Electronic computers. Computer science QA75.5-76.95
Zdroj:	Mendel, Vol 25, Iss 1 (2019)
Druh dokumentu:	article
ISSN:	1803-3814 2571-3701
DOI:	10.13164/mendel.2019.1.139
Popis:	The contribution pays attention to assessing a selected method related to multicriterial evaluations of variants. That method is exploited for supporting automatized decision-making processes related to special operational situations, which emerge within rail traffic simulators. The relevant case study resolves an optimisation task related to minimizations of total increments of train delays within passenger railway stations. Different optimisation approaches are combined and exploited, and their consequences are investigated by means of numerous simulation experiments. The outcomes of those experiments are processed, and recommendations for the use of appropriate decision-making supports in rail simulators are formulated.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/727fc4ef1f02472a989e547581345e9e Zobrazit plný text záznamu View record in DOAJ