Embedding spatial context in urban traffic forecasting with contrastive pre-training

Matthew Low, Arian Prabowo, Hao Xue +1

Urban traffic forecasting is a commonly encountered problem, with wide-ranging applications in fields such as urban planning, civil engineering and transport. In this paper, we stu…