Interaction‐aware autonomous driving (IAAD) is a rapidly growing field of research that
focuses on the development of autonomous vehicles (AVs) that are capable of interacting …

Examining driving behaviour is crucial for traffic operations because of its influence on driver
safety and the potential for increased risk of accidents, injuries, and fatalities. Approximately …

Automated Vehicles (AVs) hold promise for revolutionizing transportation by improving road
safety, traffic efficiency, and overall mobility. Despite the steady advancement in high-level …

The article aims to analyze the capacity conditions of intersections with constant-time traffic
lights using a road transport micro-modeling tool. The article uses actual data on …

Mixed traffic with automated and human-driven vehicles interacting with one another will
soon become a common reality. Microscopic traffic simulation can preemptively help assess …

While automated vehicle (AV) research has grown steadily in recent years, the impact of
automated lane-changing behavior on transportation systems remains a largely …

Dedicated lanes have been proposed as a potential scenario for the deployment of
connected and automated vehicles (CAVs) on the road network. However, knowledge on …

The aim of this thesis is to investigate how human driving behaviors can be formally
described in mathematical models intended for online personalization of advanced driver …

If you are reading this, I would like to welcome you to the most extensive collection of text
that I have written until now, and probably also which I will ever write. In this text, or Thesis …

Legal requirements for minimum distances between vehicles are often not met for short
periods of time, especially when changing lanes on multi-lane roads. These are usually non …