Automated vehicles (AVs) represent an opportunity to reduce crash frequency by eliminating
driver error, as safety studies reveal human error contributes to the majority of crashes. To …

Automated vehicles are emerging on the transportation networks as manufacturers test their
automated driving system (ADS) capabilities in complex real-world environments in testing …

Abstract Nowadays, Electric Vehicles (EVs) are considered a disruptive technology that will-
with time-become dominant over their predecessor. EVs range and cost are closely linked …

Connected and automated vehicles have enabled researchers to use big data for
development of new metrics that can enhance transportation safety. Emergence of such a …

With the emergence of high-frequency connected and automated vehicle data, analysts can
extract useful information from them. To this end, the concept of “driving volatility” is defined …

The freeway accident detection and classification have attracted much attention of
researchers in the past decades. With the popularity of Global Navigation Satellite System …

While the cost of crashes exceeds $1 Trillion a year in the US alone, the availability of high-
resolution naturalistic driving data provides an opportunity for researchers to conduct an in …

As a key indicator of unsafe driving, driving volatility characterizes the variations in
microscopic driving decisions. This study characterizes volatility in longitudinal and lateral …

Abstract Safety Performance Functions (SPFs) are critical tools in the management of
highway safety projects. SPFs are used to predict the average number of crashes per year at …

Distracted and impaired driving is a key contributing factor in crashes, leading to about 35%
of all transportation-related deaths in recent years. Along these lines, cognitive issues like …