Objective : This study aimed at identifying and predicting in advance the point in time with a high risk of a virtual accident before a virtual accident actually occurs using the change of behav
In most countries, a government agency or collaborating organization gathers information on occupational accidents. Comparisons based on a single factor such as autonomous community, activity sector o
This dataset is related to the article “Machine Learning-based Accidents Analysis and Risk Early Warning of Hazardous Materials Transportation”. The dataset includes data on more than 600,000 hazardou
With the acceleration of urbanization and the increase in traffic volume, frequent traffic accidents have significantly impacted public safety and socio-economic conditions. Traditional methods for pr
