Robust airspace design methods for uncertain traffic and weather

Autor:	Arash Yousefi, Tim Myers, Irina Kostitsyna, Joe Mitchell, Michael Bloem, Rohit Sharma
Rok vydání:	2013
Předmět:	Engineering Mathematical optimization business.industry Probabilistic logic Robust optimization Control engineering Air traffic control Robustness (computer science) Traffic flow management Robust control business Design methods Integer programming Physics::Atmospheric and Oceanic Physics
Zdroj:	2013 IEEE/AIAA 32nd Digital Avionics Systems Conference (DASC).
DOI:	10.1109/dasc.2013.6719597
Popis:	We present a robust optimization framework for performing Dynamic Airspace Configuration (DAC) integrated with Traffic Flow Management (TFM) under weather uncertainties. We extend the existing cell-based Mixed Integer Programming (MIP) model along with the GeoSect sectorization method to incorporate probabilistic weather predictions in airspace sectorization. An ensemble generation method is devised to take a probabilistic weather forecast and generate weather ensembles. The weather ensembles are then fed into a TFM agent developed to compute weather avoidance 4D trajectories (4DT) and to create traffic ensembles. Robust sectorization algorithms use traffic and weather ensembles to produce robust sector boundaries that are feasible and close to optimal for each of the traffic ensembles. Several experiments are presented for testing the degree of robustness of generated sectors across different traffic ensembles.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2fabb8a0df5c110b4d0940aa722bd77f https://doi.org/10.1109/dasc.2013.6719597 Zobrazit plný text záznamu