18 citations · 36 across the 10 of their papers we have counts for
3 papers · 1 filter
Efficient Traffic Prediction at Scale: A Systematic Study of STGCN Architectural Depth
Soban Nasir Lone, Mohamed Abouelela, Taeyoung Yu +2
Spatio-temporal graph neural networks (STGNNs) have become the dominant approach for traffic prediction, yet their computational requirements pose challenges for practical deployme…
A Gentle Introduction and Tutorial on Deep Generative Models in Transportation Research
Seongjin Choi, Zhixiong Jin, Seung Woo Ham +2
Deep Generative Models (DGMs) have rapidly advanced in recent years, becoming essential tools in various fields due to their ability to learn complex data distributions and generat…
A deep learning framework to generate realistic population and mobility data
Eren Arkangil, Mehmet Yildirimoglu, Jiwon Kim +1
Census and Household Travel Survey datasets are regularly collected from households and individuals and provide information on their daily travel behavior with demographic and econ…