A Machine Learning Approach to Analyze and Predict the Severity of Road Accidents

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Kandasamy Sellamuthu, Akshaya S., Anush J., Arunkumar S.

Abstract

Many developing countries are impacted by Globalization. India is one among the countries which benefited the foremost. The consumption level of the people is increased because of more economic activities. This made the people to travel more and to extend the use of vehicles. The increase in the count of vehicles is the reason for accidents. Two-wheeler accidents are the major reason for demise and affliction. It also ends up in the sudden demand for emergency medical care. Nearly above a million of people die every year due to traffic accidents. Also, 50 million are severely wounded or permanently impaired. A road accident prediction model would be helpful to take necessary precautions and save people from life threatening accidents.

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How to Cite
Kandasamy Sellamuthu, Akshaya S., Anush J., Arunkumar S. (2021). A Machine Learning Approach to Analyze and Predict the Severity of Road Accidents. Annals of the Romanian Society for Cell Biology, 4241–4248. Retrieved from https://www.annalsofrscb.ro/index.php/journal/article/view/2973
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