Road traffic crash severity classification using support vector machine

• Main Authors: Mohamed Radzi, Nor Haizan, Birgin, Isah Sani, Mustaffa, Noorfa Haszlinna
• Format: Article
• Language: English
• Published: Penerbit UTM Press 2017
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/id/eprint/80349/1/NoorfaHaszlinnaMustaffa2017_RoadTrafficCrashSeverityClassification.pdf; http://eprints.utm.my/id/eprint/80349/; https://ijic.utm.my/index.php/ijic/article/view/134
• Institution: Universiti Teknologi Malaysia

Road traffic crash (RTC) is considered among the leading cause of death in many countries in the world and gives negative impact to the social and economic progress. In Nigeria, 13,583 RTC cases were reported in the year 2013 and this figure rising rapidly. Prediction on injuries severity and analys...