In the near future, autonomous vehicles (AVs) will travel sharing the current freeways with
human driven vehicles. The efficiency of this mixed traffic scenario will depend on the ability …

This study presents a comprehensive review of the automated classification in partial
discharge (PD) source identification and probabilistic interpretation of the classification …

As connectivity and automation make their way in to transportation systems, they are
expected to have a forceful impact, drastically changing road transportation. The introduction …

In the next decades, road transport will undergo a deep transformation with the advent of
Connected and Automated Vehicles (CAVs), which are about to drastically change the way …

Research on connected and automated vehicles (CAVs) has been gaining substantial
momentum in recent years. However, the vast amount of literature sources results in a wide …

Featured Application This work presents a supervised reinforcement learning (SRL)-based
framework for longitudinal vehicle dynamics' control of the cooperative adaptive cruise …

Autonomous vehicles (AV) will be present in freeways, and they will have to share current
infrastructure with human driven vehicles. This mixed traffic scenario needs to be planed …

Within a microscopic simulation framework, this study aims to examine the impacts of
Connected Automated Vehicles (CAV) in mixed traffic streams with Human-driven Vehicles …

In recent years, there is a rapid evolution of automation and vehicle connectivity
technologies. There are industry estimates that fully automated driving will be a reality in the …

Freeway traffic management is necessary to improve capacity and reduce congestion,
especially in metropolitan freeways where the rush period lasts several hours per day …