survivors of car accidents not only are physically challenged, but also from psychological trauma, such as post-traumatic stress disorder (ptsd) also suffers. in recent years, ptsd disorder and other psychological reactions is increased after an accident. ptsd is a disorder with special signs after stressful events such as accidents can be seen psychological. ptsd is common responses that peopl...

This paper addresses future pedestrian accident scenarios involving next decade of small electric vehicles (SEVs) employed primarily in urban areas in 2025. The methodology used to predict the most relevant accident scenarios in 2025, in terms of speeds, impact locations, vehicle designs and inner-city boundaries, includes four main steps and as an example, the first three steps are shown for p...

Having access to the right information before and during an industrial emergency could save organizations and keep them safe and sustainable. Accident databases among other are used to provide such accesses. But, usual accident databases are lacking to provide enough emergency knowledge. This paper tries to improve the current process accident databases information retrieval through developing ...

Big data analytics for traffic accidents is a hot topic and has significant values for a smart and safe traffic in the city. Based on the massive traffic accident data from October 2014 to March 2015 in Xiamen, China, we propose a novel accident occurrences analytics method in both spatial and temporal dimensions to predict when and where an accident with a specific crash type will occur conseq...

In Poland, details about each road accident are recorded by the police in the standard format called Road Accident Card. The Card consists of a number of pieces of information that identify a variety of accident features such as location, kind of accident, number of victims, number and types of vehicles/other road users involved. This information is collected and stored in a computer accident d...

Although fear and travel avoidance among anxious drivers are well documented, relatively little is known about the behavior of anxious individuals who continue to drive. Previous research has identified three broad domains of anxious driving behavior: exaggerated safety/caution behaviors, anxiety-based performance deficits, and hostile/aggressive driving behaviors. In an effort to explicate fac...

Traffic accident data are often heterogeneous, which can cause certain relationships to remain hidden. Therefore, traffic accident analysis is often performed on a small subset of traffic accidents or several models are built for various traffic accident types. In this paper, we examine the effectiveness of a clustering technique, i.e. latent class clustering, for identifying homogenous traffic...

The term accident proneness was coined by psychological research workers in 1926. Since then its concept-that certain individuals are always more likely than others to sustain accidents, even though exposed to equal risk-has been questioned but seldom seriously challenged. This article describes much of the work and theory on which this concept is based, details the difficulties encountered in ...

Increasing amount of road traffic in 1990s has drawn much attention in Korea due to its influence on safety problems. Various types of data analyses are done in order to analyze the relationship between the severity of road traffic accident and driving environmental factors based on traffic accident records. Accurate results of such accident data analysis can provide crucial information for roa...