Publikace UTB
Repozitář publikační činnosti UTB

Use of software for licence plate recognition in road traffic

Repozitář DSpace/Manakin

Zobrazit minimální záznam


dc.title Use of software for licence plate recognition in road traffic en
dc.contributor.author Kotková, Barbora
dc.relation.ispartof Transport Means - Proceedings of the International Conference
dc.identifier.issn 1822-296X Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2020
utb.relation.volume 2020-September
dc.citation.spage 872
dc.citation.epage 877
dc.event.title 24th International Scientific Conference on Transport Means 2020
dc.event.location online
dc.event.sdate 2020-09-30
dc.event.edate 2020-10-02
dc.type conferenceObject
dc.language.iso en
dc.publisher Kauno Technologijos Universitetas
dc.relation.uri https://transportmeans.ktu.edu/wp-content/uploads/sites/307/2018/02/Transport-means-A4-II-dalis.pdf
dc.subject analysis en
dc.subject camera en
dc.subject car en
dc.subject car license plates en
dc.subject prediction en
dc.subject road transport en
dc.subject safety en
dc.subject software en
dc.subject traffic en
dc.description.abstract Road transport is currently constantly growing, and with it the requirements for its safety. Especially for further construction, reconstruction or regulatory measures, for example in cities. The basis for any of these requirements must be based on traffic flow forecasts that monitor and simulate future traffic flows. The article deals with the acquisition and use of information using software recognizing car license plates to increase traffic safety. The data obtained from these systems are widely used. By obtaining sufficient accurate data on individual vehicles and their routes, it is possible to determine, in addition to the intensities of traffic flows between individual sources and destinations of roads, also the characteristics of traffic flows, such as cruising speed, density, composition. Furthermore, indicators of the traffic situation in the monitored area depend on previous values, such as detour routes and with their help to prevent or significantly reduce the risk in traffic. © 2020 Kaunas University of Technology. All rights reserved. cs
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1010190
utb.identifier.obdid 43881948
utb.identifier.scopus 2-s2.0-85099788386
utb.source d-scopus
dc.date.accessioned 2021-02-08T08:14:24Z
dc.date.available 2021-02-08T08:14:24Z
dc.description.sponsorship Univerzita Tomáše Bati ve Zlíně: IGA / FAI / 2020/003
utb.contributor.internalauthor Kotková, Barbora
utb.fulltext.affiliation B. Kotkova Tomas Bata University in Zlin, Nad Stranemi 4511, 760 05 Zlin, Czech Republic, E-mail: [email protected]
utb.fulltext.dates -
utb.fulltext.sponsorship This research was based on the support of the Internal Grant Agency of Tomas Bata University in Zlín, the IGA/FAI/2020/003 project and the Institute of Safety Engineering, Faculty of Applied Informatics
utb.scopus.affiliation Tomas Bata University in Zlin, Nad Stranemi 4511, Zlin, 760 05, Czech Republic
utb.fulltext.projects IGA/FAI/2020/003
Find Full text

Soubory tohoto záznamu

Zobrazit minimální záznam