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Uncertainty-Aware Coordinated Multi-Ramp Metering Based on an Action-Conditioned Traffic Prediction Operator Under Sparse Observations
Hongxin Yu, Fengyue Jin, Tao Jiang +4
Coordinated multi-ramp metering (CRM) is an important approach to mitigating freeway congestion, but sparse observations in practice complicate the state estimation and model calib…
Driver Behavior Under Traffic Complexity: Variance Decomposition and Cross-Driver Generalization for Driver Monitoring
Lukas Köning, Nataša Miličić, Klaus Bogenberger
Understanding why a traffic situation is demanding for the human driver is central to safe and comfortable partially automated driving. Existing complexity metrics characterize onl…
Investigating Driver Behavior in Complex Traffic Situations While Driving Partially Automated Vehicles
Lukas Köning, Nataša Miličić, Klaus Bogenberger
Traffic complexity critically influences driver task demands in partially automated vehicles, yet subjective perception and its behavioral indicators remain underexplored in real-w…
ROSA-RL: Uncertainty-Aware Roundabout Optimized Speed Advisory with Reinforcement Learning
Anna-Lena Schlamp, Jeremias Gerner, Klaus Bogenberger +2
Roundabouts challenge automated driving in mixed traffic, as heterogeneous and non-deterministic human behavior, unknown driving intentions, and high interaction complexity create…
On the Capacity of Future Lane-Free Urban Infrastructure
Patrick Malcolm, Klaus Bogenberger
In this paper, the potential capacity and spatial efficiency of future autonomous lane-free traffic in urban environments are explored using a combination of analytical and simulat…
ROSA: Roundabout Optimized Speed Advisory with Multi-Agent Trajectory Prediction in Multimodal Traffic
Anna-Lena Schlamp, Jeremias Gerner, Klaus Bogenberger +2
We present ROSA -- Roundabout Optimized Speed Advisory -- a system that combines multi-agent trajectory prediction with coordinated speed guidance for multimodal, mixed traffic at…