A Novel Framework Combining MPC and Deep Reinforcement Learning With Application to Freeway Traffic Control

Model predictive control (MPC) and deep reinforcement learning (DRL) have been developed extensively as two independent techniques for traffic management. Although the features of MPC and DRL complement each other very well, few of the current studies consider combining these two methods for applica...

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Veröffentlicht in:	IEEE transactions on intelligent transportation systems 2024-07, Vol.25 (7), p.6756-6769
Hauptverfasser:	Sun, Dingshan, Jamshidnejad, Anahita, De Schutter, Bart
Format:	Artikel
Sprache:	eng
Schlagworte:	deep reinforcement learning Freeway network management hierarchical structure Mathematical models model predictive control Optimization Reinforcement learning Safety Sun Traffic control Uncertainty
Online-Zugang:	Volltext
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