Analysis of Traffic Accidents for Road Safety Using Data Mining Techniques
Keywords:
Road Accidents, Road Safety, Association Rules, ClassificationAbstract
Road safety is a massive issue in the world while traveling from one place to another. The road accidents very severely affected the life of travelers. Several accidents occur on daily and cause several deaths and injuries. Therefore, it is vital to identify the causes of accidents in this critical situation to reduce these daily road accidents. In this research paper, we use some data mining algorithms like Apriori and F.B.-Growth algorithms to analyze the factors that cause road accidents and find their associations and correlations. Our research findings show the association and correlations of accident factors and show that our proposed models accurately classify road accidents. These findings help us to improve safety from road accidents. The experiential setup shows how we find casualty severity by using different attributes like light conditions, weather conditions, road surfaces, and vehicles. We use Association rules to find out which rule is best for preventing accidents and improve road accidents safety.
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