Rodyti trumpą aprašą

dc.rights.licenseVisos teisės saugomos / All rights reserveden_US
dc.contributor.authorDalangauskas, Gytis
dc.contributor.authorDžiaugys, Vilius
dc.contributor.authorAdomaitis, Danielius
dc.contributor.authorŠajev, Igor
dc.date.accessioned2025-11-28T12:34:06Z
dc.date.available2025-11-28T12:34:06Z
dc.date.issued2016
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/159459
dc.description.abstractManoeuvring in limited spaces of car parks causes a lot of problems for drivers trying to park as well as drivers entering or leaving parking lots. The main problems include traffic jams, unexpected car accidents, and concentration of exhaust gases. Analysis of parking manoeuvres and creation of traffic management algorithms for closed spaces lead to effective planning of management of such processes and allow securing safety regardless of human element. This article presents a modernised stand model of a multi-storey car park, algorithms for modelled situations and their management programs.en_US
dc.format.extent4 p.en_US
dc.format.mediumTekstas / Texten_US
dc.language.isoenen_US
dc.relation.urihttps://etalpykla.vilniustech.lt/handle/123456789/159388en_US
dc.source.urihttps://ieeexplore.ieee.org/document/7485927en_US
dc.subjectcar parking systemsen_US
dc.subjectprocess managementen_US
dc.subjectsensor systemsen_US
dc.subjectmicrocontrollersen_US
dc.subjectalgorithmsen_US
dc.titleCar parking information systemen_US
dc.typeKonferencijos publikacija / Conference paperen_US
dcterms.accrualMethodRankinis pateikimas / Manual submissionen_US
dcterms.issued2016-06-09
dcterms.references12en_US
dc.description.versionTaip / Yesen_US
dc.contributor.institutionKaunas University of Applied Sciencesen_US
dcterms.sourcetitle2016 Open Conference of Electrical, Electronic and Information Sciences (eStream), April 19, 2016, Vilnius, Lithuaniaen_US
dc.identifier.eisbn9781509015160en_US
dc.publisher.nameIEEEen_US
dc.publisher.countryUnited States of Americaen_US
dc.publisher.cityNew Yorken_US
dc.identifier.doihttps://doi.org/10.1109/eStream39242.2016.7485927en_US


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