26th Congress of International Council of the Aeronautical Sciences
including the 8th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference
14 - 19 September 2008, Anchorage, Alaska, USA
Paper ICAS 2008-11.8.1 (AIAA 2008-8919)

IMPROVED PREDICTION OF GATE DEPARTURE TIMES USING PRE-DEPARTURE EVENTS

L. S. Cook, S. Atkins, Y. Jung*
Mosaic ATM Inc, USA; *NASA, USA

Keywords: IMPROVED PREDICTION OF GATE DEPARTURE TIMES

This paper presents an algorithmic approach for applying pre-departure event times to improve gate departure time predictions. It applies the method using ACARS messages from a large domestic air carrier at a busy airport. Results show significant improvements of applying this pre-departure information to two existing automation systems that predict gate departure times – the Surface Management System and the Enhanced Traffic Management System.

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