A Comparative Study of Model Predictive Control and Deep Reinforcement Learning for Distributed Traffic Signal Control
This paper presents a comparative study of two distributed traffic signal control approaches: a cell-transmission-model-based model predictive control (MPC) method and a deep reinforcement learning (DRL) method based on latent spatio-temporal network (LST-Net). In the MPC method, each intersection predicts local traffi...
Zhen-Zhen Hao, Guo-Rong Ma, Yong-Bin Cai et al.
· Applied Sciences · 0 citations