Background The availability of private vehicles with autonomous features is widespread
nowadays. Various car manufacturers are providing attributes like collision warning, city …

Urban commuters have been suffering from traffic congestion for a long time. In order to
avoid or mitigate the congestion effect, it is significant to know how the introduction of …

The management of severe congestion in complex urban networks calls for dynamic traffic
assignment (DTA) models that can replicate real traffic situations with long queues and …

The paper proposes a general framework for the assessment of the impacts of the
introduction of Connected and Automated Transport Systems (CATS) on traffic. The main …

In recent years, self-driving cars are being introduced to streets, which generated significant
attention and discussion. The widespread adoption of autonomous vehicles (AV) brings …

Urban traffic state estimation aims at providing accurate and reliable information about traffic
flow characteristics, which can be used for urban traffic management. Traditional estimation …

Transport models able to take into account both Automated Vehicles (AVs) and
Conventional Vehicles (CVs) are increasingly required to support decision-makers in the …

In the past decade many papers focused on describing the vehicular traffic stream of an
arterial on an aggregate level. Unfortunately, in this considerable body of research, only a …

Growing development in technologies that can lead to fully automated driving is at pace.
This can result in an enormous change in traffic operations and network properties …

Recent studies have proposed using well-defined relationships between network
productivity and accumulation—otherwise known as Network or Macroscopic Fundamental …