4 citations · 6 across the 2 of their papers we have counts for
3 papers
cs.LG2024★ 2 cited
UMOD: A Novel and Effective Urban Metro Origin-Destination Flow Prediction Method
Peng Xie, Minbo Ma, Bin Wang +2
Accurate prediction of metro Origin-Destination (OD) flow is essential for the development of intelligent transportation systems and effective urban traffic management. Existing ap…
cs.LG2022★ 4 cited
Spatio-Temporal Dynamic Graph Relation Learning for Urban Metro Flow Prediction
Peng Xie, Minbo Ma, Tianrui Li +4
Urban metro flow prediction is of great value for metro operation scheduling, passenger flow management and personal travel planning. However, it faces two main challenges. First,…
cs.LG2019
Urban flows prediction from spatial-temporal data using machine learning: A survey
Peng Xie, Tianrui Li, Jia Liu +3
Urban spatial-temporal flows prediction is of great importance to traffic management, land use, public safety, etc. Urban flows are affected by several complex and dynamic factors,…