Open access
Jul 2026
Dynamic traffic signal scheduling system based on adaptive quad agent Double Deep Q -network algorithm
Simulation results indicate that the proposed Adaptive Quad-Agent Double Deep Q-Network model effectively supports dynamic signal phase adaptation, minimizes congestion, and provides more accurate queue length estimations under complex traffic conditions.
Bharathi Ramesh Kumar, Sachin Salunkhe, S. Shinde et al.
· Frontiers in Future Transpor... · 0 citations