Road accident analysis and prediction of accident severity by using machine learning

Abstract : Injuries due to road accidents are one of the most prevalent causes of death apart from health related issues. The World Health Organization states that road traffic injuries caused an estimated 1.35 million deaths worldwide in the year 2016. That is, a person is killed every 25 seconds. This calls for the need to analyse road accidents and the factors affecting them and come up with a method to reduce the probability of their occurrence. The analysis of road accident severity was done by running an accident dataset through several machine learning classification algorithms to see which model performed the best in classifying the accidents into severity classes such as slight, severe and fatal.. It was observed that logistic regression to perform multilevel classification gave the highest accuracy score. It was also observed that factors such as number of vehicles, lighting conditions and road features played a role in determining the severity of the accident.

 EXISTING SYSTEM :

 ? The traffic has been transformed into the difficult structure in points of designing and managing by the reason of increasing number of vehicle. ? This situation has discovered road accidents problem, influenced public health and country economy and done the studies on solution of the problem

 DISADVANTAGE :

 The required precautions against potential accidents may be taken by reckoning the risks for road accidents.

 PROPOSED SYSTEM :

 Large calibrated data agglomerations have increased by the reasons of the technological improvements and data storage with low cost. Arising the need of accession to information from this large calibrated data obtained the corner stone of the data mining. In this study, assignment of the most compatible machine learning classification techniques for road accidents estimation by data mining has been intended

 ADVANTAGE :

 ? Machine learning algorithm, which is much acceptable for road accident assumption by the data mining method attaining from road accident data was studied to be found. ? It is observed that 854.000 road accidents happened in general of the country in 2013 on the study by TRAMER. %34 of these accidents happened in Istanbul.

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