The present study was designed to assess the various epidemiological factors related to cases of road traffic accident and to study the socio clinical aspects of patients admitted to the trauma Centre. For the purpose of the study, a Road Traffic Accident (RTA) was defined as “an accident, which took place on the road between two or more objects, in which one is any kind of moving vehicle and t...

Weather events have the ability to cause disruption to the road networks, both by making roads impassable, and by leading to a deterioration in safe driving conditions. Heavy snows in the winters of 2009 and 2010, as well as extreme flooding in 2011 and 2015, have demonstrated the ability of weather events to impact transport services and mobility. Within an Irish context there is very little r...

Safety compromising accidents and incidents occur regularly in the road transport domain. Formal accident analysis is an accepted means of understanding such events and improving safety in most complex safety critical domains. Despite this, there remains no universally accepted, theoretically underpinned framework for collecting and analysing accident-related data in the road transport domain. ...

this article studies the effects of weather on road accidents in saqqez - sanandaj road. saqqez- sanandaj road’s length is 187 km and it is one of the main hazardous roads of the area. in this study, the distribution map of road accidents and the probability of accidents were prepared under every climatic condition (i.e., snowy, frozen, rainy, foggy, and sunny). a database of road accidents o...

Child pedestrian accidents are the most common road traffic accident resulting in injury. Much of the existing work on road traffic accidents is based on analysing clusters of accidents despite evidence that child pedestrian accidents tend to be more dispersed than this. This paper analyses pedestrian accidents in 573 children aged 0-11 years by a locally derived deprivation score for the years...

This paper revisits the question of the relationship between rural road geometric characteristics, accident rates and their prediction, using a rigorous non-parametric statistical methodology known as hierarchical tree-based regression. The goal of this paper is twofold: first, it develops a methodology that quantitatively assesses the effects of various highway geometric characteristics on acc...

The significant role of pre-hospital emergency medical services (EMS) cannot be over emphasized as it encompasses minimizing the consequences of accidents and provides rapid response and relieve materials to victims of road traffic accidents at the scene of the crash. The paper therefore tries to analytically x-ray the relationship between income GDP per capital and the rate of road traffic dea...

In Belgium, traffic safety is currently one of the government’s highest priorities. Identifying and profiling black spots and black zones in terms of accident related data and location characteristics must provide new insights into the complexity and causes of road accidents which, in turn, provide valuable input for government actions. In this paper, association rules are used to identify acci...

The paper presents the first results of the BayWay (Bayesian Roadway) project by providing an empirical comparison of some algorithms for intelligent data mining and Bayesian network learning on artificial road accident datasets. We outline the theoretical motivations of the project, deal with the problems involved in the construction of statistical models of road accidents, and introduce our h...