This comprehensive review investigates the multifaceted applications of machine learning in
materials research across six key dimensions, redefining the field's boundaries. It explains …

The COVID-19 pandemic caused by the novel coronavirus, SARS-CoV-2, is spreading
globally at an unprecedented rate. To protect the world against this devastating catastrophe …

The propensity score (PS) based method has been increasingly used in road safety
evaluation studies. However, several major considerations regarding its implementation …

The segmentation of highways is a fundamental step in estimating crash frequency models
and conducting a before-after evaluation of engineering treatments, but the effects of …

Horizontal curves are known to be more crash-prone than tangent sections particularly with
respect to roadway departure crashes. Rumble strips are an effective countermeasure to …

The selection of treatment evaluation methodology is paramount in determining reliable
crash modification factors (CMFs) for engineering treatments. A lack of ground truth makes it …

Driving behavior intervention is a dominant traffic safety countermeasure being implemented
that has substantially reduced crash occurrence. However, during implementation, the …

Identifying hazardous crash sites (or hotspots) is a crucial step in highway safety
management. The Negative Binomial (NB) model is the most common model used in safety …

Estimating reliable causal estimates of road safety interventions is challenging, with a
number of these challenges addressable through analysis choices. At a minimum …

This paper focuses on ex-post road safety evaluation with multiple treatments. The potential
outcome framework for causal inference is introduced to formalize the causal estimands of …