Modeling Weather Impact on Ground Delay Programs
نویسندگان
چکیده
منابع مشابه
Modeling Weather Impact on Ground Delay Programs
Scheduled arriving aircraft demand may exceed airport arrival capacity when there is abnormal weather at an airport. In such situations, Federal Aviation Administration (FAA) institutes ground-delay programs (GDP) to delay flights before they depart from their originating airports. Efficient GDP planning depends on the accuracy of prediction of airport capacity and demand in the presence of unc...
متن کاملDecision Support Tool for Predicting Ground Delay Programs (gdp) and Airport Delays from Weather Forecast Data
During peak periods of operation, the National Airspace System (NAS) suffers from limited resources. Traffic Flow Management (TFM) is responsible for adjusting traffic flow demand to meet the available capacity. In the case of airports, TFM uses the Ground Delay Program (GDP) to allocate the constrained runway resources. This paper describes a tool for forecasting the likelihood of a GDP at an ...
متن کاملStochastic Integer Programming Models for Ground Delay Programs with Weather Uncertainty
Convective weather is a major contributor to air traffic delays. There is much uncertainty associated with weather predictions so stochastic models are necessary to effectively assign ground delay and route adjustments to flights. We describe a two-stage stochastic integer program for this problem. We then compare the results of this formulation to algorithms already in the literature.
متن کاملTroposphere Delay Modeling Based on Numerical Weather Models
Modern troposphere delay models like the Vienna Mapping Functions (VMF1) are based on data from Numerical Weather Models (NWM) with a time resolution of typically 6 hours. Different from purely analytical formulations like the Global Mapping Functions, the VMF1 can account for real weather phenomena like changing high and low pressure systems and are thus more accurate. Additionally, the zenith...
متن کاملModeling Weather Impact on a Secondary Electrical Grid
Weather can cause problems for underground electrical grids by increasing the probability of serious “manhole events” such as fires and explosions. In this work, we compare a model that incorporates weather features associated with the dates of serious events into a single logistic regression, with a more complex approach that has three interdependent log linear models for weather, baseline man...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: SAE International Journal of Aerospace
سال: 2011
ISSN: 1946-3901
DOI: 10.4271/2011-01-2680