Connected and automated vehicles (CAV) are marketed for their increased safety, driving
comfort, and time saving potential. With much easier access to information, increased …

A sustainable transport infrastructure is one of the pillars of a sustainable city. However, the
literature indicates that urbanization, population growth, changes in population density, and …

The autonomous vehicle is regarded as a promising technology with the potential to
reshape mobility and solve many traffic issues, such as accessibility, efficiency …

In this paper, we study how to learn a harmonious deep reinforcement learning (DRL) based
lane-changing strategy for autonomous vehicles without Vehicle-to-Everything (V2X) …

While virtual reality (VR) interfaces have been researched extensively over the last decades,
studies on their application in vehicles have only recently advanced. In this paper, we …

Driver lane-changing behaviors have a significant impact on the safety and the capacity of
the vehicle-based traffic system. Therefore, modeling lane-changing maneuvers has …

This paper proposes a cooperative lane changing strategy using a transferable utility games
framework. This allows vehicles to engage in transactions where gaps in traffic are created …

Mandatory lane change (MLC) is the core of lane-specific motion planning for connected
and autonomous vehicles (CAVs). To model the MLC for CAVs, this paper presented a …

There is a growing body of research in the field of interaction between drivers/passengers
and automated vehicles using augmented reality (AR) technology. Furthering the …

The inevitable impact of autonomous vehicles (AV) on traffic safety is becoming a reality with
the progressive deployment of these vehicles in different parts of the world. Still, many …