Forecasting Weather-Impacted Airport Capacities for Flow Contingency Management: Advanced Methods and Integration

摘要

Motivated by needs in strategic traffic flow management, we study the problem of forecasting Airport Arrival Rates (AAR) over a full-day time horizon. We present a multinomial logistic regression based methodology for predicting AAR classifications that can be applied to any airport. We pursue case studies of two airports to demonstrate our methodology.