Support Vector Machine Applied to Road Traffic Event Classification - Publikacja - MOST Wiedzy

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Support Vector Machine Applied to Road Traffic Event Classification

Abstrakt

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.

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Informacje szczegółowe

Kategoria:
Aktywność konferencyjna
Typ:
publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
Opublikowano w:
MATEC Web of Conferences nr 231, strony 1 - 8,
ISSN: 2261-236X
Tytuł wydania:
12th International Road Safety Conference GAMBIT 2018 - “Road Innovations for Safety - The National and Regional Perspective” strony 1 - 8
Język:
angielski
Rok wydania:
2018
Opis bibliograficzny:
Blaszke M., Kostek B.: Support Vector Machine Applied to Road Traffic Event Classification// 12th International Road Safety Conference GAMBIT 2018 - “Road Innovations for Safety - The National and Regional Perspective”/ ed. Romanowska A. : , 2018, s.1-8
DOI:
Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.1051/matecconf/201823104001
Weryfikacja:
Politechnika Gdańska

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