Analysis And Prediction Of Road Accident Using Machine Learning

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ISSN: 2349-6002 ESTD Year: 2014

UGC approved journal no 47859

Analysis And Prediction Of Road Accident Using Machine Learning
Author(s):
Pushpanjali M K, Sanjay Kumar S, Pavan Kashyap M V, Aditya P, Abhishek M R
Keywords:
road accident analysis,risk factors, data analysis, Road safety.
Abstract
Traffic-related deaths and injuries have become a global phenomenon. Many countries around the world, including Thailand, are concerned about the rising prevalence of traffic fatalities and injuries. Road traffic accidents claimed the lives of 10,576 Thai citizens in 2016 [16]. Furthermore, according to the World Health Organization (WHO), 20 to 50 million people were injured non-fatally in 2016 [19]. Understanding the elements that influence road traffic accidents is a crucial component of road safety research. The purpose of this study is to provide an overview of elements that influence the severity of road traffic accidents, as well as to examine approaches that have been employed in past studies. According to a survey of the literature, the most commonly mentioned components that are found to be significant to the severity of road traffic accidents are vehicle speed and human traits. Vehicle types, weather, alcohol intake, driver weariness, and other factors have all been determined to be crucial.
Article Details
Unique Paper ID: 152517 Publication Volume & Issue: Volume 8, Issue 3 Page(s): 810 - 813
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