Airline Schedule Recovery in Collaborative Flow Management with Airport and Airspace Capacity Constraints
نویسنده
چکیده
This paper presents a modeling methodology 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 both airports and airspace sectors are capacity limited due to conditions such as weather events or system outages. This model is embedded in a dynamic simulation environment 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, re-routing and flight cancellation. The paper presents simulation results using an idealized square grid system, along with initial results of model integration into the Boeing National Flow Modeling tool.
منابع مشابه
Real-time Inter-modal Strategies for Airline Schedule Perturbation Recovery and Airport Congestion Mitigation under Collaborative Decision Making (CDM) by Yu Zhang Real-time Inter-modal Strategies for Airline Schedule Perturbation Recovery and Airport Congestion Mitigation under Collaborative Decision Making (CDM) by
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