20 citations · 21 across the 2 of their papers we have counts for
3 papers
cs.LG2021★ 20 cited
Scalable Learning With a Structural Recurrent Neural Network for Short-Term Traffic Prediction
Youngjoo Kim, Peng Wang, Lyudmila Mihaylova
This paper presents a scalable deep learning approach for short-term traffic prediction based on historical traffic data in a vehicular road network. Capturing the spatio-temporal…
cs.LG2019★ 1 cited
Structural Recurrent Neural Network for Traffic Speed Prediction
Youngjoo Kim, Peng Wang, Lyudmila Mihaylova
Deep neural networks have recently demonstrated the traffic prediction capability with the time series data obtained by sensors mounted on road segments. However, capturing spatio-…
cs.CV2018
A Capsule Network for Traffic Speed Prediction in Complex Road Networks
Youngjoo Kim, Peng Wang, Yifei Zhu +1
This paper proposes a deep learning approach for traffic flow prediction in complex road networks. Traffic flow data from induction loop sensors are essentially a time series, whic…