Support Vector Machine Applied to Road Traffic Event Classification
The aim of this paper is to present results of road traffic event signal recognition. First, several types of systems for road traffic monitoring, including Intelligent Transport System (ITS) are shortly described. Then, assumptions of creating a database of vehicle signals recorded in different wea...
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2018-01-01
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Series: | MATEC Web of Conferences |
Online Access: | https://doi.org/10.1051/matecconf/201823104001 |
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doaj-3b085d5f98b54773aad5d3250b42e08c2021-02-02T05:49:11ZengEDP SciencesMATEC Web of Conferences2261-236X2018-01-012310400110.1051/matecconf/201823104001matecconf_gambit2018_04001Support Vector Machine Applied to Road Traffic Event ClassificationBlaszke MaciejKostek BozenaThe aim of this paper is to present results of road traffic event signal recognition. First, several types of systems for road traffic monitoring, including Intelligent Transport System (ITS) are shortly described. Then, assumptions of creating a database of vehicle signals recorded in different weather and road conditions are outlined. Registered signals were edited as single vehicle pass by. Using the Matlab-based application a feature vector containing 48 parameters was extracted and analyzed in the context of parameter separability and classification effectiveness employing SVM (Support Vector Machine) algorithm. In conclusion, the classifier developed and its effectiveness were discussed.https://doi.org/10.1051/matecconf/201823104001 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Blaszke Maciej Kostek Bozena |
spellingShingle |
Blaszke Maciej Kostek Bozena Support Vector Machine Applied to Road Traffic Event Classification MATEC Web of Conferences |
author_facet |
Blaszke Maciej Kostek Bozena |
author_sort |
Blaszke Maciej |
title |
Support Vector Machine Applied to Road Traffic Event Classification |
title_short |
Support Vector Machine Applied to Road Traffic Event Classification |
title_full |
Support Vector Machine Applied to Road Traffic Event Classification |
title_fullStr |
Support Vector Machine Applied to Road Traffic Event Classification |
title_full_unstemmed |
Support Vector Machine Applied to Road Traffic Event Classification |
title_sort |
support vector machine applied to road traffic event classification |
publisher |
EDP Sciences |
series |
MATEC Web of Conferences |
issn |
2261-236X |
publishDate |
2018-01-01 |
description |
The aim of this paper is to present results of road traffic event signal recognition. First, several types of systems for road traffic monitoring, including Intelligent Transport System (ITS) are shortly described. Then, assumptions of creating a database of vehicle signals recorded in different weather and road conditions are outlined. Registered signals were edited as single vehicle pass by. Using the Matlab-based application a feature vector containing 48 parameters was extracted and analyzed in the context of parameter separability and classification effectiveness employing SVM (Support Vector Machine) algorithm. In conclusion, the classifier developed and its effectiveness were discussed. |
url |
https://doi.org/10.1051/matecconf/201823104001 |
work_keys_str_mv |
AT blaszkemaciej supportvectormachineappliedtoroadtrafficeventclassification AT kostekbozena supportvectormachineappliedtoroadtrafficeventclassification |
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1724302627517235200 |