Identifying Efficient Road Safety Prediction Model Using Data Mining Classifiers: Recent Advancements
Emerging Trends in Engineering Research and Technology Vol. 5,
Page 60-65
Abstract
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.
Keywords:
- Accident causes
- classifier
- weather condition
- Naive Bayes
- J48
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