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.
Support Vector Machine Applied to Road Traffic Event Classification
2018
Article (Journal)
Electronic Resource
Unknown
Metadata by DOAJ is licensed under CC BY-SA 1.0
The Evolutionary Support Vector Machine Forecasting Model of Road Traffic Accident
British Library Conference Proceedings | 2007
|TRAFFIC EVENT AND ROAD CONDITION IDENTIFICATION AND CLASSIFICATION
European Patent Office | 2021
|TRAFFIC EVENT AND ROAD CONDITION IDENTIFICATION AND CLASSIFICATION
European Patent Office | 2022
|Traffic event and road condition identification and classification
European Patent Office | 2019