Latest revision as of 20:48, 3 February 2021

Abstract

new cost function representing air traffic controller workload is implemented in the Geosect airspace partitioning tool. Geosect currently uses a combination of aircraft count and dwell time to select optimal airspace partitions that balance controller workload. This is referred to as the aircraft count/dwell time hybrid cost function. The new cost function is based on Simplified Dynamic Density, a measure of different aspects of air traffic controller workload. Three sectorizations are compared. These are the current sectorization, Geosect's sectorization based on the aircraft count/dwell time hybrid cost function, and Geosect's sectorization based on the Simplified Dynamic Density cost function. Each sectorization is evaluated for maximum and average workload along with workload balance using the Simplified Dynamic Density as the workload measure. In addition, the Airspace Concept Evaluation System, a nationwide air traffic simulator, is used to determine the capacity and delay incurred by each sectorization. The sectorization resulting from the Simplified Dynamic Density cost function had a lower maximum workload measure than the other sectorizations, and the sectorization based on the combination of aircraft count and dwell time did a better job of balancing workload and balancing capacity. However, the current sectorization had the lowest average workload, highest sector capacity, and the least system delay.

Original document

The different versions of the original document can be found in:

• http://www.aviationsystemsdivision.arc.nasa.gov/publications/2010/AF2010217.pdf

• https://zenodo.org/record/1267317

• http://xplorestaging.ieee.org/ielx5/5341931/5347412/05347541.pdf?arnumber=5347541,

http://dx.doi.org/10.1109/dasc.2009.5347541

• https://ntrs.nasa.gov/search.jsp?R=20100023392,

http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000005347541,

https://ieeexplore.ieee.org/document/5347541,

https://repository.exst.jaxa.jp/dspace/handle/a-is/251333,

https://academic.microsoft.com/#/detail/2013989523