most citedLarge-Scale Traffic Signal Control Using Constrained Network Partition and Adaptive Deep Reinforcement Learning

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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…