Decision support for the general aviation pilot

Painter, John H.; Kelly, W.E.; Trang, Jeff A.; Lee, K.A.; Branham, Paul A.; Crump, J.; Ward, D. T.; Krishnamurthy, Karthik; Woo, Dal-Sik; Alcorn, William P.; Robbins, Albert; Yu, Ren-Jye

doi:10.1109/icsmc.1997.625728

Cited by 14 publications

(11 citation statements)

References 2 publications

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“…3,5,[17][18][19][20] One such decision support system, AWARE, aims to help pilots interpret weather reports and its functionality is similar to ours in some respects. 3 In-flight, AWARE monitors the proximity of hazards such as thunderstorms and informs the pilot visually by color-coding the corresponding button on a graphical user interface.…”

Section: Related Workmentioning

confidence: 94%

Context-aware Intelligent Assistant for Decreasing Pilot Workload

Spirkovska

Lodha

2005

Journal of Aerospace Computing, Information, and Communication

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Although weather-related accidents accounted for only 3.6% of all general aviation accidents in 2002, over 70% were fatal. Faulty decision making due to inaccurate or incomplete awareness of the weather situation accounts for approximately 14% of all fatal general aviation accidents. We describe a context-aware, domain and task knowledgeable, personalized and adaptive assistant designed to decrease the workload required to maintain situational awareness. The assistant automatically monitors weather reports for the pilot's route of flight and warns of detected anomalies. When and how warnings are issued is determined by phase of flight, the pilot's definition of acceptable weather conditions, and the pilot's preferences for automatic notification. In addition to automatic warnings, the pilot is able to verbally query for weather and airport information. By noting what requests are made during the approach phase of flight, our system learns to provide the information without explicit requests on subsequent flights with similar conditions. We show that our weather assistant decreases the time required to answer relevant pre-flight questions by more than 2.5 times over answering the same questions using a conventional pre-flight weather briefing, and decreases the time required to maintain in-flight weather situational awareness by more than 5.5 times when compared to the conventional method of in-flight weather briefings. In both situations, our system enables the pilot to allocate more time to other tasks such as scanning for anomalies.

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Section: Related Workmentioning

confidence: 94%

Context-aware Intelligent Assistant for Decreasing Pilot Workload

Spirkovska

Lodha

2005

Journal of Aerospace Computing, Information, and Communication

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“…Such a system improves safety by enhancing situational awareness, and reducing the cost and time required to achieve and maintain pilot proficiency. 4 Figure 1 illustrates the modular layout of GAPATS and the interfaces between software components and hardware components. The interface and integration of the different modules within GAPATS is implemented around a central data object that is used to coordinate the data communication between the different modules.…”

Section: Pilot Advisory Expert Systemmentioning

confidence: 99%

“…During the past seven years, research work has been conducted by the Texas A&M University Flight Simulation Laboratory (FSL) on the design and development of intelligent cockpit systems and pilot decision-aiding tools for GA aircraft. General Aviation Pilot Advisor and Training System (GAPATS) 4 and Hierarchical Agent Based System 5 for GA Conflict Detection and Resolution (CD&R) are two major systems created in these research projects. These two systems were funded by NASA Langley Research Center, the State of Texas, and other industry partners, and will be introduced in brief in the next section.…”

Section: Introductionmentioning

confidence: 99%

Cockpit System Design for General Aviation Free Flight Using a Cognitive Engineering Approach

Rong

Ding

Valasek

2003

AIAA Guidance, Navigation, and Control Conference and Exhibit

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The realization of general aviation Free Flight requires advanced cockpit systems to assist pilots in managing information and decision-making. In this paper, the application of cognitive engineering concepts to cockpit system design for general aviation is discussed. The design of an Aircraft Approach and Landing Assistant is presented as an example of this method. Its purpose is to enhance pilot situational awareness, aid pilot decision-making, and reduce pilot workload during the approach and landing phase in an environment with complex weather, traffic and terrain conditions. The ongoing development of the system is based on the cognitive model of general aviation pilots. It is implemented into existing flight software and a real-time, pilot-in-the-loop flight simulation system is developed for its validation. The proposed approach appears to be a promising candidate for designing intelligent cockpit systems and decision-aiding tools for future general aviation Free Flight pilots.

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“…NASA also provided partial funding to four other teams (called SATS Labs) to develop their own solutions, each emphasizing some unique capability. The five implementations have been used to perform experimentation and demonstrations of the HVO concept, including joint flight demonstrations for the public on June [6][7]2005, in Danville, VA.…”

Section: Sats High Volume Operationsmentioning

confidence: 99%

“…This challenge, and a specific solution to this challenge known as hypertrapezoidal fuzzy membership functions, has been described in [6][7][8].…”

Section: A3-5mentioning

confidence: 99%