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Motivated by challenges in strategic traffic flow management, a stochastic network model is introduced for the spatiotemporal evolution of weather impact at a strategic time horizon. Specifically, a model that represents weather-impact propagation using local probabilistic influences is shown to...
Fast-time simulation Traffic Flow Management (TFM) models can play a significant role in helping to identify best practices for weather impact scenarios, to apply these practices, and to review their efficacy. A model that can enforce Traffic Management Initiatives (TMIs) to provide sufficient...
Ground delay programs (GDPs) are often initiated in the U.S. National Airspace System to balance demand with capacity at a capacity-constrained arrival airport. A GDP assigns departure delay at origin airports to modulate demand at the destination airport. Usually, one GDP affects hundreds of...
We use historical data to build two types of stochastic model of hourly Ground Delay Program (GDP) implementation for the three main airports near New York City: Newark Liberty International, LaGuardia, and John F. Kennedy International. The models predict the probability that a GDP will be...
Air Traffic Flow Management (ATFM) aims at structuring traffic in order to reduce congestion in airspace. Congestion being linked to aircraft located at the same position at the same time, ATFM organizes traffic in the spatial dimension (e.g. route network) and in the time dimension (e.g....
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