Author

Nadir Farhi

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#artificial intelligence Preprint Oct 2026

Ramp Metering Control via Hybrid State Deep Reinforcement Learning in Partially Observable Connected Vehicle Environments

Freeway on-ramp merges are major sources of congestion, causing significant economic and environmental costs. While Deep Reinforcement Learning (DRL) offers a promising solution for ramp metering, existing approaches rely primarily on aggregated macroscopic data. Connected vehicles (CVs) provide vehicle-level observati...

Youcef Mehamlia, Nadir Farhi, M. Bouali · 0 citations

Preprint Aug 2026

Reinforcement Learning-Based Control of CAV Platoon Joining Maneuvers in Mixed Traffic

Connected and automated vehicle (CAV) platooning offers a promising approach to improving road safety and traffic capacity. However, platoon control in real-world traffic is challenging due to uncertainty and heterogeneous driving behaviors. Reinforcement learning (RL) has strong potential for addressing such control p...

Biao-Lin Yin, A. Kasmi, Nadir Farhi · 0 citations