Hugging Face Trending Papers August 27, 2026

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

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The paper presents a modeling and simulation framework to study reinforcement‑learning control of connected and automated vehicle (CAV) platoon joining maneuvers in mixed traffic. It evaluates Deep Q‑Network, Double Deep Q‑Network, and Proximal Policy Optimization algorithms, finding that PPO achieves a 98 % joining success rate with less than 1 % collisions by incorporating risk penalties, though it requires more decision steps. An external safety controller can prevent collisions but may reduce joining efficiency, highlighting a trade‑off between safety, effectiveness, and decision speed.

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arXiv AI

Aug 28

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

The paper presents a modeling and simulation framework to study reinforcement learning (RL) control of connected and automated vehicle (CAV) platoon joining maneuvers in mixed traffic. Using SUMO and agent-based modeling, it evaluates Deep Q-Network (DQN), Double DQN (DDQN), and Proximal Policy Optimization (PPO) algorithms, finding that PPO achieves a 98 % joining success rate with less than 1 % collision rate by incorporating risk penalties. The study also shows a trade‑off between safety, joining effectiveness, and decision efficiency, and demonstrates that an external safety controller can prevent collisions but may reduce joining efficiency.

By Biao Yin, Abderrahmane Kasmi, Nadir Farhi

agents reinforcement-learning safety

arXiv AI

Jul 28

Multi-agent DRL-based Lane Change Decision Model for Cooperative Platooning in Mixed Traffic

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agents

arXiv AI

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agents reinforcement-learning benchmarks safety

arXiv AI

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By Deepthi Pathare, Leo Laine, Morteza Haghir Chehreghani

agents reinforcement-learning safety

arXiv Machine Learning

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By Esrat Farhana Dulia, Syed Arbab Mohd Shihab, Caleb Adams, Ruben Del Rosario

agents reinforcement-learning safety

arXiv Machine Learning

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arXiv:2608.20858v1 Announce Type: cross Abstract: Transportation networks, in particular multi-class transportation networks (i.e., networks with mixed vehicle types), are complex systems that are ch...

By Giray Onur, Azita Dabiri, Bart De Schutter

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