9 citations · 9 across the 1 of their papers we have counts for
2 papers
stat.AP2019
Understanding and predicting travel time with spatio-temporal features of network traffic flow, weather and incidents
Shuguan Yang, Sean Qian
Travel time on a route varies substantially by time of day and from day to day. It is critical to understand to what extent this variation is correlated with various factors, such…
cs.LG2019★ 9 cited
A deep learning approach to real-time parking occupancy prediction in spatio-temporal networks incorporating multiple spatio-temporal data sources
Shuguan Yang, Wei Ma, Xidong Pi +1
A deep learning model is applied for predicting block-level parking occupancy in real time. The model leverages Graph-Convolutional Neural Networks (GCNN) to extract the spatial re…