Automated driving offers excellent opportunities for ecology, economy as well as society.
Especially in urban intersections, there is a considerable margin for benefits in these …

We use traffic simulations to quantify the impact of autonomous vehicles in various traffic
scenarios, where vehicles at higher automation levels behave more opportunistically in car …

Highly automated driving on highways requires a complex artificial intelligence that makes
optimal decisions based on ongoing measurements. Notably no attempt has been …

The gradual deployment of automated vehicles on the existing road network will lead to a
long transition period in which vehicles at different driving automation levels and capabilities …

For microscopic traffic simulation to be useful it is critical that the results can be trusted. This
thesis proposes a method for tuning traffic simulation against real world detector data by …

The shift that we are witnessing toward automated, connected, electric, and shared vehicular
transportation is likely to be the most disruptive since the early days of automobiles …

There has been a steady increase in automated features in modern vehicles. Vehicles
equipped with these features will behave differently in the traffic stream when compared to …

Connected and automated vehicles (CAVs) are expected to play a vital role in the next-
generation intelligent transportation system. In recent years, researchers have proposed …

Automated driving potentially has a significant impact on traffic flow efficiency. Automated
vehicles, which possess cooperative capabilities, are expected to reduce congestion levels …

Abstract Automated Vehicles (AVs) are predicted to have a substantial impact on safety,
traffic congestion, energy consumption, and, eventually, urban space transformation. In the …