Use of software for licence plate recognition in road traffic

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F20%3A63526516" target="_blank" >RIV/70883521:28140/20:63526516 - isvavai.cz</a>

Výsledek na webu

<a href="https://transportmeans.ktu.edu/wp-content/uploads/sites/307/2018/02/Transport-means-A4-II-dalis.pdf" target="_blank" >https://transportmeans.ktu.edu/wp-content/uploads/sites/307/2018/02/Transport-means-A4-II-dalis.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Use of software for licence plate recognition in road traffic

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Use of software for licence plate recognition in road traffic

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2020

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Transport Means - Proceedings of the International Conference

ISBN

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ISSN

1822296X

e-ISSN

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Počet stran výsledku

6

Strana od-do

872-877

Název nakladatele

Kaunas University of Technology

Místo vydání

Kaunas

Místo konání akce

Kaunas

Datum konání akce

30. 9. 2020

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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