Small Business Innovation Research/Small Business Tech Transfer
Operational Assessment of Controller Complexity
Project Description
In today's operations, acceptable levels of controller workload are maintained by assigning sector capacities based on simple aircraft count and a capacity threshold known as the monitor alert parameter (MAP). The MAP value of a sector is typically 5/3 of average sector flight time (or dwell time) measured in minutes, but may be adjusted up or down as necessary to account for other considerations such as sector geometry, traffic mix, and phase of flight. Future operations may utilize complexity as a proxy for workload instead. Our proposed research builds upon existing NASA complexity metrics by analyzing operational data to validate the factors that contribute to complexity in actual operations. We believe we have formulated a novel validation approach to apply to complexity. Our goal is to analyze a large sampling of operational data (substantially larger than could ever be provided by human-in-the-loop simulations) for a wide range of distinct sector types within Center airspace. This large and diverse sampling is anticipated to provide statistical significance to the validation of complexity factors. Most importantly, we believe that demonstrating sound operational validation of complexity is a key step in enabling the transition from aircraft count-based capacity to complexity-based capacity. The first objective is to develop a capability to analyze operational data that can identify sectors whose MAP value deviates from the 5/3 dwell time rule. These sectors will likely exhibit complexity that is higher or lower than the nominal complexity associated with a given MAP value. The next objective is to determine which complexity factors are positively or negatively influencing the sector capacity deviation from the 5/3 dwell time rule from the training set of operational sectors. The final objective is to validate that the complexity factors identified can accurately predict deviations from the 5/3 dwell time rule for the validation set of operational sectors.
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Anticipated Benefits
The complexity analysis tool will also be very useful in establishing capacities for dynamically-generated sectors for FAA FlexAirspace. In addition, results of research studies that we will publish in reports, conferences, and journals may also help shape the FAA plan for migrating from today's MAP-based capacities to complexity-based capacities. The most likely Phase 3 activities involve further development of the complexity analysis tool and underlying statistical capabilities to support NASA's continued aeronautics mission. The complexity analysis tool could be used within field trials throughout the NAS where the complexity procedures may be refined and actual benefits may be measured. Mosaic ATM has conducted field trials of this type previously with other automation tools and concepts and is well qualified to complete these Phase 3 objectives with minimal risk.
The proposed SBIR has two primary focuses. First, we will deliver a complexity analysis tool to NASA so that NASA researchers can conduct their own complexity-related research. For example, NASA researchers can introduce new complexity factors and see if the factors are supported by the operational data. In addition, researchers involved with HITL experiments can leverage this capability to simplify the arduous post-processing of complexity-related data. Second, we will perform specific research studies to complement NASA's internal projects. Studies we perform using the complexity analysis tool will be directly useful to NASA. The study results will guide subsequent NASA research studies. The technical approach may re-used by NASA or may influence the approaches NASA takes on future projects. More »
The proposed SBIR has two primary focuses. First, we will deliver a complexity analysis tool to NASA so that NASA researchers can conduct their own complexity-related research. For example, NASA researchers can introduce new complexity factors and see if the factors are supported by the operational data. In addition, researchers involved with HITL experiments can leverage this capability to simplify the arduous post-processing of complexity-related data. Second, we will perform specific research studies to complement NASA's internal projects. Studies we perform using the complexity analysis tool will be directly useful to NASA. The study results will guide subsequent NASA research studies. The technical approach may re-used by NASA or may influence the approaches NASA takes on future projects. More »
Primary U.S. Work Locations and Key Partners
| Organizations Performing Work | Role | Type | Location |
|---|---|---|---|
| Mosaic ATM, Inc. | Lead Organization | Industry | Leesburg, Virginia |
Ames Research Center
(ARC)
|
Supporting Organization | NASA Center | Moffett Field, California |
Primary U.S. Work Locations
-
California
-
Virginia
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This is a historic project that was completed before the creation of TechPort on October 1, 2012. Available data has been included. This record may contain less data than currently active projects.