About 40 percent of motor vehicle crashes in the US are related to intersections. To deal with
such crashes, Safety Performance Functions (SPFs) are vital elements of the predictive …

Crash severity models play a crucial role in evaluating the influencing factors in the severity
of traffic crashes. In this study, Extremely Randomised Tree (ERT) is used as a machine …

Although spatial and temporal correlations of crash observations have been well addressed
in the literature, the interactions between them are rarely studied. This study proposes a …

Interaction effects constitute crucial crash attributes that can be classified into two distinct
categories: spatiotemporal interactions and factor interactions. These interactions are rarely …

Single-vehicle (SV) crash severity model considering spatiotemporal correlations has been
extensively investigated, but spatiotemporal interactions have not received sufficient …

One of the primary objectives of transportation engineering is to increase the safety of road
infrastructure. This study seeks to determine the relationship between geometric design …

The traffic flow pertinent modelling is essential for distinct strategy formulations. However,
the present literature illustrated some needed improvements for such models, especially …

The identification of accident hot spots is a central task of road safety management.
Bayesian count data models have emerged as the workhorse method for producing …

Introduction: Spatiotemporal correlations have been widely recognized in single-vehicle
(SV) crash severity analysis. However, the interactions between them are rarely explored …

The objective of this research was to identify and prioritize deer-vehicle crash (DVC)
hotspots using five years of crash data. This study applied Bayesian spatiotemporal models …