signal-control

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Heterogeneous GNN-based multi-agent reinforcement learning for coordinated platooning and traffic signal control using Ray RLlib and SUMO

Multi-Agent A2C for jointly optimizing traffic signal timings and vehicle routing in signalized networks.

Code for hierarchical signal coordination using hybrid model-based and RL approach.

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