Title :
Field evaluation of an airport configuration management decision support tool
Author :
Provan, Christopher ; Lent, Steven
Author_Institution :
Mosaic ATM, Leesburg, VA, USA
Abstract :
Airport and Runway Configuration Management (ARCM) is an operational prototype decision support tool designed to improve traffic managers´ effectiveness in choosing runway configurations and runway assignment policies. ARCM ingests flight schedules, real-time surveillance, and wind forecasts and generates recommended schedules of airport configurations that reduce delays and travel times between the gate and terminal airspace boundary while complying with system traffic flow constraints. The recommendations cover a rolling tactical timeframe of 90 minutes into the future. The web-based ARCM interface displays recommendations and statistics describing the predicted impact of a given configuration schedule on flight operations. The interface is designed to facilitate collaboration between air traffic control tower and terminal area traffic managers and, potentially, flight operators during the configuration planning process. ARCM was tested in a live field evaluation conducted over five three-day periods in January-March 2014 at Memphis International Airport. This paper describes the ARCM tool and details the outcomes of the field evaluation.
Keywords :
air traffic control; aircraft displays; airports; decision support systems; scheduling; Memphis International Airport; Web-based ARCM interface display recommendations; air traffic control tower; airport and runway configuration management; airport configuration management decision support tool; configuration planning process; delay reduction; flight scheduling; gate airspace boundary; live field evaluation; operational prototype decision support tool; real-time surveillance; rolling tactical timeframe; runway assignment policies; system traffic flow constraints; terminal airspace boundary; terminal area traffic managers; time 90 min; traffic manager effectiveness; wind forecasts; Airports; Atmospheric modeling; Delays; Routing; Schedules; Wind forecasting;
Conference_Titel :
Digital Avionics Systems Conference (DASC), 2014 IEEE/AIAA 33rd
Conference_Location :
Colorado Springs, CO
Print_ISBN :
978-1-4799-5002-7
DOI :
10.1109/DASC.2014.6979402