A decentralized reinforcement learning policy, using only local sensor data, reduces waiting time and raises throughput compared to fixed traffic lights across 444 real-world-shaped intersection and roundabout scenarios.
A survey on intelligent traffic lights,
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Optimizing Efficiency of Mixed Traffic through Reinforcement Learning: A Topology-Independent Approach and Benchmark
A decentralized reinforcement learning policy, using only local sensor data, reduces waiting time and raises throughput compared to fixed traffic lights across 444 real-world-shaped intersection and roundabout scenarios.