research
∙
05/30/2023
Revisiting Random Forests in a Comparative Evaluation of Graph Convolutional Neural Network Variants for Traffic Prediction
Traffic prediction is a spatiotemporal predictive task that plays an ess...
share
research
∙
05/29/2023
Perimeter Control Using Deep Reinforcement Learning: A Model-free Approach towards Homogeneous Flow Rate Optimization
Perimeter control maintains high traffic efficiency within protected reg...
research
∙
11/26/2022
A Critical Review of Traffic Signal Control and A Novel Unified View of Reinforcement Learning and Model Predictive Control Approaches for Adaptive Traffic Signal Control
Recent years have witnessed substantial growth in adaptive traffic signa...
research
∙
03/03/2022