Traffic Accident Detection By Using Machine Learning Methods

Nejdet , Dogru (2012) Traffic Accident Detection By Using Machine Learning Methods. In: 3rd International Symposium on Sustainable Development, May 31 - June 01 2012, Sarajevo.

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Abstract

There are lots of studies about preventing or detecting the car accidents. Most of them includes sensing objects which might cause accident or statistics about accidents. In this study, a system which detects happening accidents will be studied. The system will collect necessary information from neighbor vehicles and process that information using machine learning tools to detect possible accidents. Machine learning algorithms have shown success on distinguishing abnormal behaviors than normal behaviors. This study aims to analyze traffic behavior and consider vehicles which move different than current traffic behavior as a possible accident. Results showed that clustering algorithms can successfully detect accidents.

Item Type: Conference or Workshop Item (Paper)
Subjects: H Social Sciences > H Social Sciences (General)
T Technology > T Technology (General)
Divisions: Faculty of Economics > Management Department
Depositing User: Users 173 not found.
Date Deposited: 22 Oct 2012 08:59
Last Modified: 22 Oct 2012 08:59
URI: http://eprints.ibu.edu.ba/id/eprint/1206

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