34 citations · 67 across the 3 of their papers we have counts for
3 papers
Deep Reinforcement Learning for the Joint Control of Traffic Light Signaling and Vehicle Speed Advice
Johannes V. S. Busch, Robert Voelckner, Peter Sossalla +3
Traffic congestion in dense urban centers presents an economical and environmental burden. In recent years, the availability of vehicle-to-anything communication allows for the tra…
Machine Learning for QoS Prediction in Vehicular Communication: Challenges and Solution Approaches
Alexandros Palaios, Christian L. Vielhaus, Daniel F. Külzer +11
As cellular networks evolve towards the 6th generation, machine learning is seen as a key enabling technology to improve the capabilities of the network. Machine learning provides…
Berlin V2X: A Machine Learning Dataset from Multiple Vehicles and Radio Access Technologies
Rodrigo Hernangómez, Philipp Geuer, Alexandros Palaios +14
The evolution of wireless communications into 6G and beyond is expected to rely on new machine learning (ML)-based capabilities. These can enable proactive decisions and actions fr…