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Dive into the research topics where Kurt A. Swieringa is active.

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Featured researches published by Kurt A. Swieringa.


11th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference | 2011

Evaluation of an Airborne Spacing Concept, On-board Spacing Tool, and Pilot Interface

Kurt A. Swieringa; Jennifer L. Murdoch; Brian T. Baxley; Clay Hubbs

The number of commercial aircraft operations is predicted to increase in the next ten years, creating a need for improved operational efficiency. Two areas believed to offer significant increases in efficiency are optimized profile descents and dependent parallel runway operations. It is envisioned that during both of these types of operations, flight crews will precisely space their aircraft behind preceding aircraft at air traffic control assigned intervals to increase runway throughput and maximize the use of existing infrastructure. This paper describes a human-in-the-loop experiment designed to study the performance of an onboard spacing algorithm and pilots’ ratings of the usability and acceptability of an airborne spacing concept that supports dependent parallel arrivals. Pilot participants flew arrivals into the Dallas Fort-Worth terminal environment using one of three different simulators located at the National Aeronautics and Space Administration’s (NASA) Langley Research Center. Scenarios were flown using Interval Management with Spacing (IM-S) and Required Time of Arrival (RTA) control methods during conditions of no error, error in the forecast wind, and offset (disturbance) to the arrival flow. Results indicate that pilots’ delivered their aircraft to the runway threshold within +/- 3.5 seconds of their assigned arrival time and reported that both the IM-S and RTA procedures were associated with low workload levels. In general, pilots found the IM-S concept, procedures, speeds, and interface acceptable; with 92% of pilots rating the procedures as complete and logical, 218 out of 240 responses agreeing that the IM-S speeds were acceptable, and 63% of pilots reporting that the displays were easy to understand and displayed in appropriate locations. The 22 (out of 240) responses, indicating that the commanded speeds were not acceptable and appropriate, occurred during scenarios containing wind error and offset error. Concerns cited included the occurrence of multiple speed changes within a short time period, speed changes required within twenty miles of the runway, and an increase in airspeed followed shortly by a decrease in airspeed. Within this paper, appropriate design recommendations are provided, and the need for continued, iterative human-centered design is discussed.


AIAA Modeling and Simulation Technologies (MST) Conference | 2013

Evaluation of Flight Deck-Based Interval Management Crew Procedure Feasibility

Sara R. Wilson; Jennifer L. Murdoch; Clay Hubbs; Kurt A. Swieringa

Air traffic demand is predicted to increase over the next 20 years, creating a need for new technologies and procedures to support this growth in a safe and efficient manner. The National Aeronautics and Space Administrations (NASA) Air Traffic Management Technology Demonstration - 1 (ATD-1) will operationally demonstrate the feasibility of efficient arrival operations combining ground-based and airborne NASA technologies. The integration of these technologies will increase throughput, reduce delay, conserve fuel, and minimize environmental impacts. The ground-based tools include Traffic Management Advisor with Terminal Metering for precise time-based scheduling and Controller Managed Spacing decision support tools for better managing aircraft delay with speed control. The core airborne technology in ATD-1 is Flight deck-based Interval Management (FIM). FIM tools provide pilots with speed commands calculated using information from Automatic Dependent Surveillance - Broadcast. The precise merging and spacing enabled by FIM avionics and flight crew procedures will reduce excess spacing buffers and result in higher terminal throughput. This paper describes a human-in-the-loop experiment designed to assess the acceptability and feasibility of the ATD-1 procedures used in a voice communications environment. This experiment utilized the ATD-1 integrated system of ground-based and airborne technologies. Pilot participants flew a high-fidelity fixed base simulator equipped with an airborne spacing algorithm and a FIM crew interface. Experiment scenarios involved multiple air traffic flows into the Dallas-Fort Worth Terminal Radar Control airspace. Results indicate that the proposed procedures were feasible for use by flight crews in a voice communications environment. The delivery accuracy at the achieve-by point was within +/- five seconds and the delivery precision was less than five seconds. Furthermore, FIM speed commands occurred at a rate of less than one per minute, and pilots found the frequency of the speed commands to be acceptable at all times throughout the experiment scenarios.


14th AIAA Aviation Technology, Integration, and Operations Conference | 2014

An Evaluation of a Flight Deck Interval Management Algorithm Including Delayed Target Trajectories

Kurt A. Swieringa; Matthew Underwood; Bryan E. Barmore; Robert D. Leonard

NASAs first Air Traffic Management (ATM) Technology Demonstration (ATD-1) was created to facilitate the transition of mature air traffic management technologies from the laboratory to operational use. The technologies selected for demonstration are the Traffic Management Advisor with Terminal Metering (TMA-TM), which provides precise timebased scheduling in the terminal airspace; Controller Managed Spacing (CMS), which provides controllers with decision support tools enabling precise schedule conformance; and Interval Management (IM), which consists of flight deck automation that enables aircraft to achieve or maintain precise in-trail spacing. During high demand operations, TMA-TM may produce a schedule and corresponding aircraft trajectories that include delay to ensure that a particular aircraft will be properly spaced from other aircraft at each schedule waypoint. These delayed trajectories are not communicated to the automation onboard the aircraft, forcing the IM aircraft to use the published speeds to estimate the target aircrafts estimated time of arrival. As a result, the aircraft performing IM operations may follow an aircraft whose TMA-TM generated trajectories have substantial speed deviations from the speeds expected by the spacing algorithm. Previous spacing algorithms were not designed to handle this magnitude of uncertainty. A simulation was conducted to examine a modified spacing algorithm with the ability to follow aircraft flying delayed trajectories. The simulation investigated the use of the new spacing algorithm with various delayed speed profiles and wind conditions, as well as several other variables designed to simulate real-life variability. The results and conclusions of this study indicate that the new spacing algorithm generally exhibits good performance; however, some types of target aircraft speed profiles can cause the spacing algorithm to command less than optimal speed control behavior.


17th AIAA Aviation Technology, Integration, and Operations Conference | 2017

Flight Crew Survey Responses from the Interval Management (IM) Avionics Phase 2 Flight Test

Brian T. Baxley; Kurt A. Swieringa; Sara R. Wilson; Roy D. Roper; Clay Hubbs; Paul A. Goess; Richard F. Shay

The Interval Management (IM) Avionics Phase 2 flight test used three aircraft over a nineteen day period to operationally evaluate a prototype IM avionics. Quantitative data were collected on aircraft state data and IM spacing algorithm performance, and qualitative data were collected through end-of-scenario and end-of-day flight crew surveys. The majority of the IM operations met the performance goals established for spacing accuracy at the Achieveby Point and the Planned Termination Point, however there were operations that did not meet goals for a variety of reasons. While the positive spacing accuracy results demonstrate the prototype IM avionics can contribute to the overall air traffic goal, critical issues were also identified that need to be addressed to enhance IM performance. The first category was those issues that impacted the conduct and results of the flight test, but are not part of the IM concept or procedures. These included the design of arrival and approach procedures was not ideal to support speed as the primary control mechanism, the ground-side of the Air Traffic Management Technology Demonstration (ATD-1) integrated concept of operations was not part of the flight test, and the high workload to manually enter the information required to conduct an IM operation. The second category was issues associated with the IM spacing algorithm or flight crew procedures. These issues include the high frequency of IM speed changes and reversals (accelerations), a mismatch between the deceleration rate used by the spacing algorithm and the actual aircraft performance, and some spacing error calculations were sensitive to normal operational variations in aircraft airspeed or altitude which triggered additional IM speed changes. Once the issues in these two categories are addressed, the future IM avionics should have considerable promise supporting the goals of improving system throughput and aircraft efficiency.


17th AIAA Aviation Technology, Integration, and Operations Conference | 2017

Flight Test Evaluation of the ATD-1 Interval Management Application

Kurt A. Swieringa; Sara R. Wilson; Brian T. Baxley; Roy D. Roper; Terence S. Abbott; Ian Levitt; Julien Scharl

Interval Management (IM) is a concept designed to be used by air traffic controllers and flight crews to more efficiently and precisely manage inter-aircraft spacing. Both government and industry have been working together to develop the IM concept and standards for both ground automation and supporting avionics. NASA contracted with Boeing, Honeywell, and United Airlines to build and flight test an avionics prototype based on NASA’s spacing algorithm and conduct a flight test. The flight test investigated four different types of IM operations over the course of nineteen days, and included en route, arrival, and final approach phases of flight. This paper examines the spacing accuracy achieved during the flight test and the rate of speed commands provided to the flight crew. Many of the time-based IM operations met or exceeded the operational design goals set out in the standards for the maintain operations and a subset of the achieve operations. Those operations which did not meet the goals were due to issues that are identified and will be further analyzed.


12th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference and 14th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference | 2012

Aircraft Configuration and Flight Crew Compliance with Procedures While Conducting Flight deck based Interval Management (FIM) Operations

Rick Shay; Kurt A. Swieringa; Brian T. Baxley

Flight deck based Interval Management (FIM) applications using ADS-B are being developed to improve both the safety and capacity of the National Airspace System (NAS). FIM is expected to improve the safety and efficiency of the NAS by giving pilots the technology and procedures to precisely achieve an interval behind the preceding aircraft by a specific point. Concurrently but independently, Optimized Profile Descents (OPD) are being developed to help reduce fuel consumption and noise, however, the range of speeds available when flying an OPD results in a decrease in the delivery precision of aircraft to the runway. This requires the addition of a spacing buffer between aircraft, reducing system throughput. FIM addresses this problem by providing pilots with speed guidance to achieve a precise interval behind another aircraft, even while flying optimized descents. The Interval Management with Spacing to Parallel Dependent Runways (IMSPiDR) human-in-the-loop experiment employed 24 commercial pilots to explore the use of FIM equipment to conduct spacing operations behind two aircraft arriving to parallel runways, while flying an OPD during high-density operations. This paper describes the impact of variations in pilot operations; in particular configuring the aircraft, their compliance with FIM operating procedures, and their response to changes of the FIM speed. An example of the displayed FIM speeds used incorrectly by a pilot is also discussed. Finally, this paper examines the relationship between achieving airline operational goals for individual aircraft and the need for ATC to deliver aircraft to the runway with greater precision. The results show that aircraft can fly an OPD and conduct FIM operations to dependent parallel runways, enabling operational goals to be achieved efficiently while maintaining system throughput.


14th AIAA Aviation Technology, Integration, and Operations Conference | 2014

An Evaluation of Retrofit Flight Deck Displays for Interval Management

Kurt A. Swieringa; Sara R. Wilson; Rick Shay

NASA’s first Air Traffic Management (ATM) Technology Demonstration (ATD-1) was created to facilitate the transition of the most mature air traffic management technologies from the laboratory to the airspace. One of the selected technologies is Interval Management (IM), which uses automation on board the aircraft to compute speeds that pilots can fly to achieve or maintain precise in-trail spacing behind a preceding aircraft. Since ATD-1 focuses on a near-term environment, the IM prototype used in the ATD-1 flight demonstration will require the use of voice communications to issue IM clearances to the pilots. Retrofit IM displays will be used to enable pilots to enter information into the IM avionics and monitor the IM operation. These displays could consist of an interface used to enter data from an IM clearance and an auxiliary display that presents critical information in the primary field-of-view. A human-in-the-loop experiment was conducted to examine the usability and acceptability of retrofit IM displays. This experiment investigated both numerical and graphical primary field-of-view displays while conducting nominal IM operations. The results provide information that can be used to guide the development of future retrofit IM displays.


Quality Engineering | 2017

Statistical engineering approach to improve the realism of computer-simulated experiments with aircraft trajectory clustering

Sara R. Wilson; Kurt A. Swieringa; Robert D. Leonard; Evan Freitag; David J. Edwards

ABSTRACT This article presents a statistical engineering approach for clustering aircraft trajectories. The clustering methodology was developed to address the need to incorporate more realistic trajectories in fast-time computer simulations used to evaluate an aircraft spacing algorithm. The methodology is a combination of Dynamic Time Warping and k-Means clustering, and can be viewed as one of many possible solutions to the immediate problem. The implementation of this statistical engineering approach is also repeatable, scalable, and extendable to the investigation of other air traffic management technologies. Development of the clustering methodology is presented in addition to an application and description of results.


Quality Engineering | 2018

Space-filling designs for multi-layer nested factors

Ryan W. Gryder; Sara R. Wilson; Kurt A. Swieringa; David J. Edwards

Abstract This article considers computer experiments where levels for continuous factors are selected in sequential order with the level selected for one factor directly affecting the range of possible levels for the nested factor and, so on, for a finite number of factors. In addition, we assume that the nested relationships between the factors have no closed form solution. We propose an approach for constructing a multilayer nested factor design or multi-NFD for short. This space-filling design approach takes advantage of the maximin criterion and can be analyzed using a standard Gaussian process model. While the multi-NFD approach can be adapted for future computer experiments involving factor relationships of this type, we present results from a particular aerospace computer simulation study.


Quality Engineering | 2018

Inference for under-dispersed data: Assessing the performance of an airborne spacing algorithm

Sara R. Wilson; Robert D. Leonard; David J. Edwards; Kurt A. Swieringa; Matthew Underwood

Abstract Poisson regression is a commonly used tool for analyzing rate data; however, the assumption that the mean and variance of a process are equal rarely holds true in practice. When this assumption is violated, a quasi-Poisson distribution can be used to account for the existing over- or under-dispersion. This article presents an analysis of a study conducted by NASA to assess the performance of a new airborne spacing algorithm. A deterministic computer simulation was conducted to examine the algorithm in various conditions designed to simulate real-life scenarios, and two measures of algorithm performance were modeled using both continuous and categorical factors. Due to the presence of under-dispersion, tests for significance of main effects and two-factor interactions required bias adjustment. This article presents a comparison of tests of effects for the Poisson and quasi-Poisson models, details of fitting these models using common statistical software packages, and calculation of dispersion tests.

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Roy D. Roper

Langley Research Center

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Richard F. Shay

National Institute of Aerospace

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David J. Edwards

Virginia Commonwealth University

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Evan Freitag

Virginia Commonwealth University

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