Analysis of Traffic Accidents for Road Safety Using Data Mining Techniques


  • Umair Khadam Department of Software Engineering, University of Kotli, Azad Jammu and Kashmir
  • Muhammad Waseem Department of Computer Sciences University of Kotli, Azad Jammu and Kashmir
  • Anila Shakeel Department of Computer Sciences University of Kotli, Azad Jammu and Kashmir
  • Iram Aftab Department of Computer Sciences University of Kotli, Azad Jammu and Kashmir
  • Muhammad Munwar Iqbal Department of Computer Sciences University of Engineering and Technology Taxila
  • Muhammad Yasir Shabir Department of Computer Sciences University of Kotli, Azad Jammu and Kashmir


Road Accidents, Road Safety, Association Rules, Classification


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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How to Cite

Khadam, U., Waseem, M. ., Shakeel, A. . ., Aftab , I. ., Munwar Iqbal, M. ., & Yasir Shabir, M. . (2022). Analysis of Traffic Accidents for Road Safety Using Data Mining Techniques . University of Wah Journal of Science and Technology (UWJST), 6, 37–44. Retrieved from