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dc.contributor.authorMikšíková, Simona
dc.contributor.authorUlčák, David
dc.contributor.authorKuda, František
dc.date.accessioned2022-05-27T10:46:07Z
dc.date.available2022-05-27T10:46:07Z
dc.date.issued2022
dc.identifier.citationSustainability. 2022, vol. 14, issue 3, art. no. 1826.cs
dc.identifier.issn2071-1050
dc.identifier.urihttp://hdl.handle.net/10084/146225
dc.description.abstractThe underlying cause of the problem with parking is the imbalance between demand and supply in key areas where demand for parking is high, but parking is limited due to excessive land prices. Newly-developed automated multi-storey parking facilities are able to automatically pick up and place cars on different storeys, with minimal requirements on space. In the paper we concentrate on Automated Parking Systems and their malfunction rate. Specifically, we analyzed two automated systems located in the Czech Republic, in the towns of Brno and SlanATIN SMALL LETTER Y WITH ACUTE. We employed time series and various testing hypotheses to compare the malfunction rate of the systems, and used information from practice. We conclude with an evaluation and a brief description of the optimization of systems and the use of innovative tools.cs
dc.language.isoencs
dc.publisherMDPIcs
dc.relation.ispartofseriesSustainabilitycs
dc.relation.urihttps://doi.org/10.3390/su14031826cs
dc.rights© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectengineeringcs
dc.subjectmanagementcs
dc.subjectautomated parking systemscs
dc.subjectmalfunctioncs
dc.subjectcorrelationcs
dc.titleAnalysis of malfunctions in selected parking systems in the Czech Republiccs
dc.typearticlecs
dc.identifier.doi10.3390/su14031826
dc.rights.accessopenAccesscs
dc.type.versionpublishedVersioncs
dc.type.statusPeer-reviewedcs
dc.description.sourceWeb of Sciencecs
dc.description.volume14cs
dc.description.issue3cs
dc.description.firstpageart. no. 1826cs
dc.identifier.wos000754818700001


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© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.
Except where otherwise noted, this item's license is described as © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.