Jul 2026
Optimized adaptive traffic management using double DQN and prioritized experience replay in a multi-agent traffic control setup
Simulation results in the SUMO environment demonstrate that DDQNTSCA achieves faster convergence, enhanced adaptability, and significant reductions in average travel time, queue length, and cumulative delay compared to existing DRL-based TSC methods.
Anurag Agrahari, Mogal Aftab Baig, Meera M. Dhabu et al.
· Cluster Computing · 0 citations