Identifying Efficient Road Safety Prediction Model Using Data Mining Classifiers: Recent Advancements

Identifying Efficient Road Safety Prediction Model Using Data Mining Classifiers: Recent Advancements

Globally road safety is a major concern to prevent accidents. The aim of the traffic accident analysis for a region is to investigate the cause for accidents and to determine accident prone spots in a region. Multivariate analysis of traffic accidents data is critical to identify major causes for fatal accidents. In this work, accident dataset is analysed using algorithmic approach, as an attempt to address this problem. The reason for accident and with other attributes such as weather, surface, ambience, mobile usage and drunken driving were also considered. Prediction model was derived using various classifiers such as J48, Naive Bayes etc., to enhance safety measures for a accident prone region.

Author (s) Details

Dr. Durga Karthik
Department of Computer Science and Engineering, SRC – SASTRA Deemed University, Tamil Nadu, India.

Dr. K. Vijayarekha
Department of Electrical and Electronics Engineering, SASTRA Deemed University, Tamil Nadu, India.

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