11 citations · 36 across the 4 of their papers we have counts for
4 papers
STGIN: A Spatial Temporal Graph-Informer Network for Long Sequence Traffic Speed Forecasting
Ruikang Luo, Yaofeng Song, Liping Huang +2
Accurate long series forecasting of traffic information is critical for the development of intelligent traffic systems. We may benefit from the rapid growth of neural network analy…
Dense-TNT: Efficient Vehicle Type Classification Neural Network Using Satellite Imagery
Ruikang Luo, Yaofeng Song, Han Zhao +5
Accurate vehicle type classification serves a significant role in the intelligent transportation system. It is critical for ruler to understand the road conditions and usually cont…
A SUMO Framework for Deep Reinforcement Learning Experiments Solving Electric Vehicle Charging Dispatching Problem
Yaofeng Song, Han Zhao, Ruikang Luo +3
In modern cities, the number of Electric vehicles (EV) is increasing rapidly for their low emission and better dynamic performance, leading to increasing demand for EV charging. Ho…
AST-GIN: Attribute-Augmented Spatial-Temporal Graph Informer Network for Electric Vehicle Charging Station Availability Forecasting
Ruikang Luo, Yaofeng Song, Liping Huang +2
Electric Vehicle (EV) charging demand and charging station availability forecasting is one of the challenges in the intelligent transportation system. With the accurate EV station…