Deep Traffic -
NRF Basic Reserach Lab

This research project aims to develop wide-area/long-term traffic prediction, user behavior extraction, and information service technology required for future urban mobility and ‘artificial intelligence + mobility’, which are the representative technology fields of the 4th industrial revolution.

By combining Graph Neural Network (GNN) and Attention mechanism, emerging in the field of artificial intelligence, we develop the prediction model for urban mobility network that reflects various spatial and temporal features of urban mobility, and design a mobility information service based on the developed model and personal travel behavior.