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cs.LG2025
A Hierarchical Deep Reinforcement Learning Framework for Traffic Signal Control with Predictable Cycle Planning
Hankang Gu, Yuli Zhang, Chengming Wang +4
Deep reinforcement learning (DRL) has become a popular approach in traffic signal control (TSC) due to its ability to learn adaptive policies from complex traffic environments. Wit…
cs.LG2025
A Joint Topology-Data Fusion Graph Network for Robust Traffic Speed Prediction with Data Anomalism
Ruiyuan Jiang, Dongyao Jia, Eng Gee Lim +3
Accurate traffic prediction is essential for Intelligent Transportation Systems (ITS), yet current methods struggle with the inherent complexity and non-linearity of traffic dynami…
cs.LG2023★ 1 cited
A Dynamic Temporal Self-attention Graph Convolutional Network for Traffic Prediction
Ruiyuan Jiang, Shangbo Wang, Yuli Zhang
Accurate traffic prediction in real time plays an important role in Intelligent Transportation System (ITS) and travel navigation guidance. There have been many attempts to predict…