Airport Traffic Management and Planning Framework

Airport Traffic Management and Planning Framework

Computational Science

Research output: NREL › Fact Sheet

Abstract

Initial results from the Athena project show that high-performance computing and high-fidelity traffic simulation can help guide airport traffic management decisions and understand operating bottlenecks.

Original language	American English
State	Published - 2020

NREL Publication Number

NREL/FS-2C00-77629

Keywords

airports
demand forecasting
high performance computing
management
traffic

Access to Document

https://www.nrel.gov/docs/fy20osti/77629.pdf

Cite this

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title = "Airport Traffic Management and Planning Framework",

abstract = "Initial results from the Athena project show that high-performance computing and high-fidelity traffic simulation can help guide airport traffic management decisions and understand operating bottlenecks.",

keywords = "airports, demand forecasting, high performance computing, management, traffic",

author = "NREL",

year = "2020",

language = "American English",

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AB - Initial results from the Athena project show that high-performance computing and high-fidelity traffic simulation can help guide airport traffic management decisions and understand operating bottlenecks.

KW - airports

KW - demand forecasting

KW - high performance computing

KW - management

KW - traffic

M3 - Fact Sheet

ER -

Airport Traffic Management and Planning Framework

Abstract

NREL Publication Number

Keywords

Access to Document

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Cite this