Road safety modeling is a valuable strategy for promoting safe mobility, enabling the
development of crash prediction models (CPM) and the investigation of factors contributing …

Context awareness adds intelligence to and enriches data for applications, services and
systems while enabling underlying algorithms to sense dynamic changes in incoming data …

Improving genetic yield potential in major food grade crops such as soybean (Glycine max
L.) is the most sustainable way to address the growing global food demand and its security …

Drought stress as one of the most devastating abiotic stresses affects agricultural and
horticultural productivity in many parts of the world. The application of melatonin can be …

Transportation safety is highly correlated with driving behavior, especially human error
playing a key role in a large portion of crashes. Modern instrumentation and computational …

Abstract Machine learning (ML) model interpretability has attracted much attention recently
given the promising performance of ML methods in crash frequency studies. Extracting …

Abstract Accident Analysis & Prevention (AA&P) is a leading academic journal established
in 1969 that serves as an important scientific communication platform for road safety studies …

This study develops a Bayesian spatial random parameters Tobit model to analyze crash
rates on road segments, in which both spatial correlation between adjacent sites and …

This paper proposes a hybrid soft computing approach on the basis of clustering, rule
extraction, and decision tree methodology to predict the segment of the new customers in …