This paper examined the accident risk factors associated with highway traffic and roadway
design, for each of three highway classes in the United States using a bivariate modeling …

Understanding the causes and effects of road accidents is critical for developing road and
action plans in a country. The causation hypothesis elucidates how accidents occur and may …

Despite continuous investment in road and vehicle safety, as well as improvements in
technology standards, the total amount of road traffic accidents has been increasing over the …

Crash forecasting enables safety planners to take appropriate actions before casualty or
loss occurs. Identifying and analyzing the attributes influencing forecasting accuracy is of …

As of 2015, Switzerland's road network was among the safest when compared to other
European countries. Nonetheless, the endeavour to further decrease the number of traffic …

Road traffic safety is essential, therefore in order to predict traffic fatalities effectively and
promote the harmonious development of transportation, a traffic fatalities prediction model …

In recent years Spain shows the great reduction in the accident rate that has been achieved
and the improvement of the behavior of road users, despite this, there is still a need to …

A Bayesian network model is developed, in which all the items or safety related elements
encountered when traveling along a highway or road, such as terrain, infrastructure, light …

There are a large number of efforts around the world to obtain more net benefits from road
infrastructure assets. This can be seen through the proliferation of codes and guidelines and …

This paper presents an error components mixed logit with heterogeneity in means and
variance to capture the heterogeneous effects of contributing factors on fixed object …