Organizational Unit:
Daniel Guggenheim School of Aerospace Engineering

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Author: Clarke, John-Paul B. × Has files: Yes × search.filters.applied.f.isOrgUnitOfPublicationTitle: Air Transportation Laboratory × Type: Text ×

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Now showing 1 - 10 of 24
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Towards an Integrated Tool for Airport Optimization in the Presence of Uncertainties

2010-05-18 , Clarke, John-Paul B.

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Algorithms for Economically and Environmentally Efficient Terminal Area Transition Metering

2009-07-28 , Clarke, John-Paul B. , Ren, Liling , Tino, Clayton , Lowther, Marcus

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Preliminary Altitude and Fuel Analysis for KATL CDA

2008-11-17 , Nagle, Gaurav , Brooks, James , Clarke, John-Paul B.

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ATL 1.5 Metering Scheme

2007-12-06 , Clarke, John-Paul B.

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Overview of the Air Transportation Laboratory

2010-05-18 , Clarke, John-Paul B.

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Algorithms for Economically and Environmentally Efficient En Route Conflict Resolution

2009-07-28 , Vela, Adan , Clarke, John-Paul B. , Singhose, William E. , Solak, Senay

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Controller Managed Spacing Study

2008-11 , Palmer, Everett , Callantine, Todd J. , Prevot, Thomas , Mercer, Joey , Williams, David H. , Clarke, John-Paul B.

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Creating En Route (Cruise) Trajectories That Have Minimal Impact on the Environment

2010-05-13 , Clarke, John-Paul B.

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Algorithms for Economically and Environmentally Efficient Surface Movement

2009-07-28 , Clarke, John-Paul B.

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Simulating Air Traffic Blockage due to Convective Weather Conditions

2007-12-11 , Ren, Liling , Chang, Dawei , Solak, Senay , Clarke, John-Paul B. , Barnes, Earl R. , Johnson, Ellis L.

A Monte Carlo methodology is proposed for simulating air traffic blockage patterns under the impact of convective weather. The simulation utilizes probabilistic convective weather forecasts such as those produced by the 1-6 hour National Convective Weather Forecast. A matrix of random numbers is fed to the simulation process to obtain an instantiation of traffic blockage maps. Gaussian smoothing with varying Full Width at Half Maximum across the grid is employed to model the varying spatial correlation between cells. Special Cellular Automata techniques are employed to model the evolvement, i.e. the trend, growth, and dissipation of convection, between consecutive time intervals. Model parameters are obtained from analyzing historical convective weather data. A software tool is also developed to implement the simulation methodology. The simulation methodology thus provides a means to improve the utilization of short term probabilistic convective weather forecast products, and to improve air traffic efficiency in the large.

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