Wangjun Zou

Fine-Grained Forecasting of Short-Haul Logistics Volume Based on Time Series Feature Engineering and XGBoost Algorithm

This model successfully achieves cargo volume extrapolation at 10-minute granularity for the next 24 hours, accurately capturing the bimodal characteristics of cargo volume on specific routes, laying a solid data foundation for subsequent dynamic scheduling optimization.