BCT-APLight, a DQN traffic controller with a Bayesian critique-tune refiner and attention-weighted adaptive pressure, reports 9.60% lower average queue length and 15.28% lower average waiting time than Advanced-CoLight.
A review of sustainable transportation solutions: Innovations, challenges, and future directions,
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Bayesian Critique-Tune-Based Reinforcement Learning with Adaptive Pressure for Multi-Intersection Traffic Signal Control
BCT-APLight, a DQN traffic controller with a Bayesian critique-tune refiner and attention-weighted adaptive pressure, reports 9.60% lower average queue length and 15.28% lower average waiting time than Advanced-CoLight.