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Multi-agent reinforcement learning can effectively optimize traffic signal timings and improve traffic flow using real-time camera-based detection, maintaining significant performance improvements even with imperfect or sparse sensing. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

Traffic co-simulation framework empowered by infrastructure camera sensing and reinforcement learning

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