Integrated Surface-Airspace Model of Airport Departures

Sandeep Badrinath; Max Z. Li; Hamsa Balakrishnan

doi:10.2514/1.G003964

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Integrated Surface-Airspace Model of Airport Departures

Journal article

Open access

Peer reviewed

Integrated Surface-Airspace Model of Airport Departures

Sandeep Badrinath, Max Z. Li and Hamsa Balakrishnan

Journal of guidance, control, and dynamics, Vol.42(5), pp.1049-1063

05/01/2019

DOI: https://doi.org/10.2514/1.G003964

Appears in Aviation Sustainability Center (ASCENT)

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Abstract

Engineering, Aerospace

Instruments & Instrumentation

Science & Technology

Engineering

Technology

The significant growth in air traffic over the past few decades has led to increased congestion at major airports. Departure metering strategies to mitigate congestion require good models of operations at the airport, as well as in the surrounding terminal airspace. Although runways have traditionally been considered the sole capacity bottleneck in the air transportation system, large airports can exhibit multiple points of congestion, both on the surface and in the terminal area. This paper presents an integrated surface-airspace model of aircraft departure operations from pushback to the final departure fix, when the flight leaves the terminal area. The airport surface is represented as a queuing network to capture congestion at multiple locations, such as ramp, taxiways, and runways. The terminal departure airspace is modeled considering various factors, such as runway configurations, standard departure procedures, weather, and en route traffic. The proposed modeling approach is illustrated for Charlotte Douglas International Airport, the test bed for NASA's Airspace Technology Demonstration 2 program. The model is evaluated on its ability to accurately predict various transit times, both on the surface and in the terminal area.

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Details

Title: Integrated Surface-Airspace Model of Airport Departures
Creators: Sandeep Badrinath - Massachusetts Institute of Technology
Max Z. Li - Massachusetts Institute of Technology
Hamsa Balakrishnan - Massachusetts Institute of Technology
Publication Details: Journal of guidance, control, and dynamics, Vol.42(5), pp.1049-1063
Academic Unit: Aviation Operations; Aviation Sustainability Center (ASCENT)
Publisher: Amer Inst Aeronautics Astronautics
Number of pages: 15
Grants: 13-C-AJFE-MIT-, Federal Aviation Administration (United States, Washington) - FAA
1739505, U.S. National Science Foundation (United States, Alexandria) - NSF
NNA16BD87C, NASA Research Park (United States, Mountain View Acres) - NRP
Grant note: 1739505 / NSF CPS; National Science Foundation (NSF); NSF - Directorate for Engineering (ENG) NNA16BD87C / NASA NRA; National Aeronautics & Space Administration (NASA) 16 / FAA ASCENT CoE Project
Identifiers: 99901050933101842
Language: English
Resource Type: Journal article