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A comparison of methods for the identification of traffic levels in cities

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dc.title A comparison of methods for the identification of traffic levels in cities en
dc.contributor.author Pokorný, Pavel
dc.relation.ispartof Annals of DAAAM and Proceedings of the International DAAAM Symposium
dc.identifier.issn 1726-9679 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn 978-3-902734-20-4
dc.date.issued 2018
utb.relation.volume 29
utb.relation.issue 1
dc.citation.spage 243
dc.citation.epage 249
dc.event.title 29th International DAAAM Symposium on Intelligent Manufacturing and Automation, DAAAM 2018
dc.event.location Zadar
utb.event.state-en Croatia
utb.event.state-cs Chorvatsko
dc.event.sdate 2018-10-24
dc.event.edate 2018-10-27
dc.type conferenceObject
dc.language.iso en
dc.publisher Danube Adria Association for Automation and Manufacturing, DAAAM
dc.identifier.doi 10.2507/29th.daaam.proceedings.035
dc.relation.uri https://www.daaam.info/Downloads/Pdfs/proceedings/proceedings_2018/035.pdf
dc.subject identification en
dc.subject image processing en
dc.subject map en
dc.subject programming en
dc.subject traffic level en
dc.description.abstract The main task of this article is to describe the software solutions for the identification of live traffic levels in cities anywhere in the world. Two different methods are used and compared in order to apply these results in the industrial environment. Both methods are based on Google Maps solutions. The first method uses objects and methods directly in its programming interface (API), which can return the necessary values-that can then be processed. The second method uses a graphics representation of Google Maps with a traffic layer, where traffic levels are visualized using different colours. The required maps are then converted into a bitmap image where the colours are identified and then processed. © 2018, Danube Adria Association for Automation and Manufacturing, DAAAM. All rights reserved. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1010131
utb.identifier.obdid 43879290
utb.identifier.scopus 2-s2.0-85060107011
utb.source d-scopus
dc.date.accessioned 2021-01-08T14:02:33Z
dc.date.available 2021-01-08T14:02:33Z
dc.rights Attribution-NonCommercial 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc/4.0/
dc.rights.access openAccess
utb.contributor.internalauthor Pokorný, Pavel
utb.fulltext.affiliation Pavel Pokorny
utb.fulltext.dates -
utb.fulltext.sponsorship This application was created in collaboration with the Incinity Company, which develops complex integrated platforms for smart cities.
utb.fulltext.projects -
utb.fulltext.faculty -
utb.fulltext.ou -
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Attribution-NonCommercial 4.0 International Kromě případů, kde je uvedeno jinak, licence tohoto záznamu je Attribution-NonCommercial 4.0 International