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Influencing Factors for Use of Unmanned Aerial Systems in Support of Aviation Accident and Emergency Response

Brent Terwilliger, Dennis Vincenzi, David Ison, Kenneth Witcher, David Thirtyacre, and Adeel Khalid
Embry-Riddle Aeronautical University-Worldwide, Daytona Beach, FL, USA

Abstract—The purpose of this research paper was to examine the influencing factors associated with the use of unmanned aerial system (UAS) technology to support aviation accident and emergency response. The ability of first responders to react to an emergency is dependent on the quality, accuracy, timeliness, and usability of information. With aviation accidents such as the Asiana Airlines Flight 214 crash at San Francisco International Airport, the ability to sense and communicate the location of victims may reduce the potential for accidental passenger death. Furthermore, the ability to obtain information en-route to an accident may also to assist to reduce overall response and coordination time of first responders (e.g., Aviation Rescue and Firefighting [ARFF]). By identifying and examining current and potential practices, capabilities, and technology (e.g., human-machine-interface [HMI], human factors, tools, and capability modifiers) a more comprehensive model of the influencing factors is established to further support the growing body of knowledge (i.e., safety, human computer interaction, human-robot systems, socio-economical systems, service and public sector systems, and technological forecasting). A series of recommendations regarding the technology and application are provided to support future development or adaptation of regulations, policies, or future research.

Index Terms—unmanned aerial systems, UAS emergency response, UAS aviation accident response, UAS application, UAS HMI, UAS disaster response, UAS situational awareness

Cite: Brent Terwilliger, Dennis Vincenzi, David Ison, Kenneth Witcher, David Thirtyacre, and Adeel Khalid, "Influencing Factors for Use of Unmanned Aerial Systems in Support of Aviation Accident and Emergency Response," Jounal of Automation and Control Engineering, Vol. 3, No. 3, pp. 246-252, June, 2015. doi: 10.12720/joace.3.3.246-252
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