Data for: Risk prediction and factors risk analysis based on IFOA-GRNN and aprior algorithms: Application of artificial intelligence in accident prevention
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
Statistical modeling of vehicle crashes leads to a better understanding of how and why such crashes occur. Due to the irregular network structure of roadways, analyses are typically confined to a sing
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
ABSTRACT Objective: This study aimed to identify the traffic flow variables contributing to crash risks under different traffic states, and to develop a real-time crash risk model incorpo
