Search
Abstract
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.
Citations
-
0
CrossRef
-
0
Web of Science
-
0
Scopus
Cite as
Full text
download paper
downloaded 13 times
- Publication version
- Accepted or Published Version
- DOI:
- Digital Object Identifier (open in new tab) 10.1051/matecconf/201823104001
- License
-
open in new tab
Keywords
Details
- Category:
- Articles
- Type:
- artykuły w czasopismach
- Published in:
-
MATEC Web of Conferences
no. 231,
pages 1 - 8,
ISSN: 2261-236X - Language:
- English
- Publication year:
- 2018
- Bibliographic description:
- Blaszke M., Kostek B.: Support Vector Machine Applied to Road Traffic Event Classification// MATEC Web of Conferences -Vol. 231, (2018), s.1-8
- DOI:
- Digital Object Identifier (open in new tab) 10.1051/matecconf/201823104001
- Verified by:
- Gdańsk University of Technology
seen 87 times