Conference
Open access
2026
Urban Rail Transit Passenger Flow Prediction Based on Machine Learning
It is shown that spatiotemporal graph convolutional networks have become the mainstream technological paradigm in this field, but breakthroughs are still needed in dynamic graph construction, long-term dependency modeling, and industrial-grade deployment.
Meng-Yan Ma
· ITM Web of Conferences · 0 citations