Analysis of Road Accidents Lethality in Lebanon using Machine Learning
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Road accidents amount to a significant loss of life in Lebanon. Hence an insight on the contributing factors of fatal accidents is of paramount importance. In this paper, Ensemble machine learning structured from Support Vector Machine and bagging of Decision Trees was applied to road accident data to analyze road accidents lethality on Lebanese roads. A sensitivity analysis was also carried to examine the influence of multiple factors on fatality occurrence in an accident. The model was constructed, trained, tested, and validated using 8,482 accident samples. Accident type, severity, and location were found to have the strongest impact on accident casualty.
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