The development of methods for real-time crash prediction as a function of current or recent
traffic and roadway conditions is gaining increasing attention in the literature. Numerous …

Road traffic safety should be evaluated throughout the entire life-cycle of road design,
operation, maintenance, and expansion construction. However, traditional methods for …

This paper proposes a procedure which evaluates clusters of traffic accident and organizes
them according to their significance. The standard kernel density estimation was extended …

The identification of crash hotspots is the first step of the highway safety management
process. Errors in hotspot identification may result in the inefficient use of resources for …

Traditionally, data have been collected to measure and improve the performance of incident
management (IM). While these data are less detailed than crash records, they are timelier …

This paper advocates the use of multivariate Poisson-lognormal (MVPLN) regression to
develop models for collision count data. The MVPLN approach presents an opportunity to …

Recent research advocates the use of count models with random parameters as an
alternative method for analyzing accident frequencies. In this paper a dataset composed of …

According to The Handbook of Tunnel Fire Safety, over 90%(55 out of 61 cases) of fires in
road tunnels are caused by vehicle crashes (especially rear-end crashes). It is thus …

Accident prediction models (APMs) have been extensively used in site ranking with the
objective of identifying accident hotspots. Previously this has been achieved by using a …

Spatial analysis technique has been introduced as an innovative approach for hazardous
road segments identification (HRSI). In this study, the performance of two spatial analysis …