Author

Ziyuan Huang

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Conference Open access 2026

Short-Term Passenger Flow Forecasting of Beijing Subway Based on ARIMA and KNN Models

Urban rail transit short-term passenger flow forecasting is critical for optimizing operation scheduling and improving service quality. Taking Beijing Subway as the research object, this paper compares the prediction performance of the Autoregressive Integrated Moving Average (ARIMA) model, the K-Nearest Neighbor (KNN)...

Ziyuan Huang · ITM Web of Conferences · 0 citations