Abstract Surrogate Safety Measures (SSM) are important for safety performance evaluation,
since crashes are rare events and historical crash data does not capture near crashes that …

Digital Twin (DT) is an emerging technology and has been introduced into intelligent driving
and transportation systems to digitize and synergize connected automated vehicles …

Limitations of crash data and crash-based methods have given rise to the study of alternate
measures of safety that are not predicated on the occurrence of a crash such as traffic …

Although automated vehicles (AVs) could offer a potentially effective solution to improving
road safety, the benefit associated with AVs can be realized only when the public intend to …

Artificial intelligence (AI)-powered autonomous vehicles (AVs) are one of the most disruptive
technologies with potentially wide-ranging social implications, including improvements in …

Over the last few years, a large emphasis has been devoted to autonomous vehicles (AVs),
as vehicle automation promises a large number of benefits such as: improving mobility and …

Abstract Connected and Autonomous Vehicles (CAVs) constitute an automotive
development carrying paradigm-shifting potential that may soon be embedded into a …

The article discusses the short, medium, and long-term effects of Autonomous Vehicles
(AVs) on the urban transportation and environment by means of a systematic review of the …

The platform of a microscopic traffic simulation provides an opportunity to study the driving
behavior of vehicles on a roadway system. Compared to traditional conventional cars with …

Abstract Connected and Automated Vehicles (CAVs) can potentially improve the
performance of the transportation system by reducing human errors. This paper investigates …