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Found 9 papers, 0 papers with code
Leveraging Cooperative Connected Automated Vehicles for Mixed Traffic Safety
The introduction of connected and automated vehicles (CAV) is believed to reduce congestion, enhance safety, and improve traffic efficiency.
Event-triggered Boundary Control of Mixed-autonomy Traffic
This paper is focused on suppressing traffic oscillations of the mixed-autonomy traffic system using boundary control design.
A Distributionally Robust Optimisation Approach to Fair Credit Scoring
To address this concern, recent credit scoring research has considered a range of fairness-enhancing techniques put forward by the machine learning community to reduce bias and unfair treatment in classification systems.
Neural Operators for Boundary Stabilization of Stop-and-go Traffic
To validate the efficacy of the proposed approach, simulations are conducted to compare the performance of the two neural operator controllers with a PDE backstepping controller and a Proportional Integral (PI) controller.
Learning "Look-Ahead" Nonlocal Traffic Dynamics in a Ring Road
The macroscopic traffic flow model is widely used for traffic control and management.
Robust Safety for Mixed-Autonomy Traffic with Delays and Disturbances
Considering both actuator and sensor delays, and disturbances, we propose robust safety-critical traffic control (RSTC) design to ensure ``robust safety'' of the mixed traffic.
Safety-Critical Traffic Control by Connected Automated Vehicles
Connected automated vehicles (CAVs) have shown great potential in improving traffic throughput and stability.
Machine Learning Accelerated PDE Backstepping Observers
State estimation is important for a variety of tasks, from forecasting to substituting for unmeasured states in feedback controllers.
Modular Transfer Learning with Transition Mismatch Compensation for Excessive Disturbance Rejection
In this paper, we propose a transfer learning framework that adapts a control policy for excessive disturbance rejection of an underwater robot under dynamics model mismatch.
