HONEST-CAV: Hierarchical Optimization of Network Signals and Trajectories for Connected and Automated Vehicles with Multi-Agent Reinforcement Learning

arXiv:2602.18740 · cs.LG, cs.AI, cs.SY, eess.SY · Submitted 2026-02-21 · Read on arXiv

cs.LG, cs.AI, cs.SY, eess.SY

Submitted: 2026-02-21

Updated: 2026-02-21

Comments: 7 pages, 6 figures. Accepted at the 2026 IEEE Intelligent Vehicles Symposium. Final version to appear at IEEE Xplore

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Multi-Agent Reinforcement Learning — 2× in this paper
• Reinforcement Learning — 2× in this paper · explained in 4 episodes
• Machine Learning-based Trajectory Planning Algorithm — 1× in this paper
• Multi-Agent Reinforcement Learning (MARL) — 1× in this paper · explained in 4 episodes

Sources

• Value-Decomposition Networks For Cooperative Multi-Agent Learning
• A Survey on Traffic Signal Control Methods

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