Prediction of Road Accidents Using Machine Learning Technique

Predicting the type of road accidents based on air temperature in Iran: A case study of roads in Qazvin province

“…Ali et al (2020) [ 12 ] investigated the impact of factors such as temperature, rainfall, and the number index of health workers on the number of road casualties in Pakistan, demonstrating a direct impact of these variables on increasing road traffic. Alagarsamy et al (2021) [ 13 ] used machine learning techniques to determine accident-prone spots in India, identifying spots with a higher risk of accidents based on predictions and placing these spots on guide maps to reduce the risk of accidents.…”

Examining the relationship between wind speed, climatic conditions, and road accidents in Iran

“…Brázdil et al [ 18 ] examined the impact of weather conditions on accidents in the Czech Republic, identifying “rain,” “starting rain and light rain,” “snowfall,” and “glazed ice” as the main causes of accidents with the highest number of casualties, while factors like “fog,” “strong wind,” and “other bad weather” had comparatively lesser effects. Alagarsamy et al [ 19 ] utilized machine learning techniques to identify accident-prone spots in India and incorporated them into guide maps, aiming to reduce the risk of accidents, particularly for less familiar road users.…”