Road crashes cost over a million lives each year. Consequently, researchers and transport
engineers continue their efforts to improve road safety and minimize road crashes. With the …

In the aftermath of cybersecurity incidents within organizations, explanations of their causes
often revolve around isolated technical or human events such as an Advanced Persistent …

This paper addresses the use of clustering algorithms in the customer segmentation to
define a marketing strategy of a credit card company. Customer segmentation divides …

Abstract Machine learning models effectively forecast and improve engineering systems as
solar dryers, making them valuable replacements for traditional physics-based models. Also …

This document defines a taxonomy of basic terms used in the description of an Operational
Design Domain (ODD) for an Automated Driving System (ADS). Among others, the …

Statistical techniques are important tools in modeling research work. However, there could
be misleading outcomes if sufficient care is undermined in choosing the right approach …

In road safety research, bus crashes are particularly noteworthy because of the large
number of bus passengers involved and the challenge that it puts to the road network (with …

The occurrence rate of death and injury due to road traffic accidents is rising increasingly
globally day by day. For several decades, the focus of research has been on getting a …

While the cost of road traffic fatalities in the US surpasses $240 billion a year, the availability
of high-resolution datasets allows meticulous investigation of the contributing factors to …

With the recent advancements in Autonomous Vehicles (AVs), two important factors that play
a vital role to avoid accidents and collisions are obstacles and track detection. AVs must …