Accident Severity Detection Using Machine Learning A Review

One of the greatest challenges in today's world is traffic accidents. It results fatalities, accidents, and property damage. Making a model that can accurately predict accidents difficult. The objective this project to create classification system for injuries based on set influential factors, including environment, vehicle speed, driver behaviour, etc. Using data related several algorithms are utilized, AdaBoost, Logistic Regression (LR), Naive Bayes (NB), Random Forests (RF). Some best most effective, Forest, Bayes, Ada Boost. Compared LR, NB, RF algorithm performed better, with 75.5% accuracy. To employ various machine learning accident prediction, goal study uncover underlying causes road then decide which prediction likely help decrease these highway This paper's review different authentication procedures offered by numerous scholars around world.