Hybrid stochastic control strategy by two-layer networks for dissipating urban traffic congestion
摘要
This work proposed stochastic network control strategies for traffic congestion on roads from the perspectives of internal guidance and external intervention. Using three steps: establishing the controlled model, analyzing control effects theoretically, and conducting simulation experiments, the effectiveness of information guidance and random guidance is verified from both the theoretical and simulation perspectives, thereby offering a novel avenue for addressing traffic congestion.