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Paper 69 -- Benefits of Collaborative Flow Management During Convective Weather Disruptions

This paper presents a flexible modeling methodology that is designed to assess a range of operational concepts for collaborative flow management. The particular focus is on the problem of airline schedule recovery in conditions where airspace sectors are capacity limited due to convective weather events. This model is embedded in a dynamic simulation environment, the Boeing National Flow Model (NFM), representing the US National Airspace System (NAS). The airline schedule recovery model is based on an optimization formulation that allows a representation of adaptive airline behavior in current and future operations. The schedule recovery options considered include ground delay, pre-departure re-routing and flight cancellation. Included is a NAS-wide benefits analysis of convective weather operations enabled by increased automation capability and exploring the benefits of improved forecasting capabilities. The modeling effort also included, for comparative purposes, the development of a baseline representation of current convective weather system response in the NFM, using delay data obtained from the Airline Service Quality Performance (ASQP) database. The results indicate a significant benefits potential for increased automation support and improved convective weather forecasts for the future NAS operation.
Theme: Network and Traffic Flow Optimisation
Keywords: ATM Modeling, Airport Capacity, Demand prediction, Traffic Flow Management, airline scheduling, ATM operational concept, Air Traffic Flow Management, Airline Operations, Collaborative Decision Making, Discrete Event Modeling, Optimization, Sector Capacity, Weather Uncertainty, airline schedule recovery
Posted by: Matthew Berge / Other authors: Aslaug Haraldsdottir, Michael Carter, Bruno Repetto
Note: Unset Received On Jan 26, 2007

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