Developing a safer and more effective intersection-control system is essential given the
trends of rising populations and vehicle numbers. Additionally, as vehicle communication …

Future intersection crossings for autonomous vehicles will not be controlled by traffic signals,
rather a controller will be used for communication among vehicles that need to cross an …

With increasing urban population, there are more and more vehicles, causing traffic
congestion. In order to solve this problem, the development of an efficient and fair …

With increasing connectivity and autonomy in traffic eco-systems, Autonomous Intersection
Management (AIM) has attracted strong attention from the research community. AIM helps …

Autonomous intersection management has the ability to reduce congestion at intersections
significantly, compared to classical traffic signal control in the era of connected autonomous …

Decision making at unsignalized intersections is a critical challenge for autonomous
vehicles. Navigating through urban intersections requires determining the intentions of other …

Driving through complex urban environments is a challenging task for autonomous vehicles
(AVs), as they must safely reach their mission goal, and react properly to traffic participants …

The transition from today's mostly human-driven traffic to a purely automated one will be a
gradual evolution, with the effect that we will likely experience mixed traffic in the near future …

Decision-making module enables autonomous vehicles to reach appropriate maneuvers in
the complex urban environments, especially the intersection situations. This work proposes …

Decision-making for automatic vehicles at unsignalized intersections with dense traffic is
one of the most challenging tasks. Due to the complex structure and frequent traffic …