Simulating Air Traffic Blockage due to Convective Weather Conditions

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Please use this identifier to cite or link to this item: http://hdl.handle.net/1853/31429

Title: Simulating Air Traffic Blockage due to Convective Weather Conditions
Author: Ren, Liling ; Chang, Dawei ; Solak, Senay ; Clarke, John-Paul B. ; Barnes, Earl ; Johnson, Ellis
Abstract: 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.
Description: This work is supported in part by National Aeronautics and Space Administration (NASA) under the project “Approaches to TFM in the Presence Of Uncertainty,” 06-AS-06-0037. The authors are thankful to Mr. Terran Melconian of the School of Aerospace Engineering at Georgia Institute of Technology for his help in system setup for accessing the weather forecast data. Winter Simulation Conference 2007
Type: Paper
URI: http://hdl.handle.net/1853/31429
Date: 2007-12-11
Contributor: Georgia Institute of Technology. School of Aerospace Engineering
Southern Polytechnic State University. School of Engineering Technology and Management
Georgia Institute of Technology. School of Industrial and Systems Engineering
Publisher: Georgia Institute of Technology
Subject: Weather
Flight simulation
Traffic flow management

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