STGIN: A Spatial Temporal Graph-Informer Network for Long Sequence Traffic Speed Forecasting

no code implementations • 1 Oct 2022 • Ruikang Luo, Yaofeng Song, Liping Huang, YiCheng Zhang, Rong Su

Accurate long series forecasting of traffic information is critical for the development of intelligent traffic systems.

Graph Attention

Dense-TNT: Efficient Vehicle Type Classification Neural Network Using Satellite Imagery

no code implementations • 27 Sep 2022 • Ruikang Luo, Yaofeng Song, Han Zhao, YiCheng Zhang, Yi Zhang, Nanbin Zhao, Liping Huang, Rong Su

Accurate vehicle type classification serves a significant role in the intelligent transportation system.

Classification Vocal Bursts Type Prediction

A SUMO Framework for Deep Reinforcement Learning Experiments Solving Electric Vehicle Charging Dispatching Problem

no code implementations • 7 Sep 2022 • Yaofeng Song, Han Zhao, Ruikang Luo, Liping Huang, YiCheng Zhang, Rong Su

To better serve further research on various related Deep Reinforcment Learning (DRL) EV dispatching algorithms, an efficient simulation environment is necessary to ensure success.

Reinforcement Learning (RL)

AST-GIN: Attribute-Augmented Spatial-Temporal Graph Informer Network for Electric Vehicle Charging Station Availability Forecasting

no code implementations • 7 Sep 2022 • Ruikang Luo, Yaofeng Song, Liping Huang, YiCheng Zhang, Rong Su

Electric Vehicle (EV) charging demand and charging station availability forecasting is one of the challenges in the intelligent transportation system.

Attribute point of interests