Function Allocation between Automation and Human Pilot for Airborne Separation Assurance

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• 作者：Husni Idris^* ; ^{husni.idris@engilitycorp.com" class="auth_mail" title="E-mail the corresponding author} ; Gabriele Enea^** ; ^{gabriele.enea@engilitycorp.com" class="auth_mail" title="E-mail the corresponding author} ; Timothy A. Lewis^*** ; ^{timothy.a.lewis@nasa.gov" class="auth_mail" title="E-mail the corresponding author}
• 关键词：Function Allocation ; Automation ; Air Traffic Management ; Separation Assurance ; Petri Nets
• 刊名：IFAC-PapersOnLine
• 出版年：2016
• 出版时间：2016
• 年：2016
• 卷：49
• 期：19
• 页码：25-30
• 全文大小：613 K

文摘

Maintaining safe separation between aircraft is a key determinant of the airspace capacity to handle air transportation. With the advent of satellite-based surveillance, aircraft equipped with the needed technologies are now capable of maintaining awareness of their location in the airspace and sharing it with their surrounding traffic. As a result, concepts and cockpit automation are emerging to enable delegating the responsibility of maintaining safe separation from traffic to the pilot; thus increasing the airspace capacity by alleviating the limitation of the current, non-scalable, centralized, ground-based system. In this paper, an analysis of allocating separation assurance functions to the human pilot and cockpit automation is presented to support the design of these concepts and technologies. A task analysis was conducted using Petri nets as a representation tool to identify the main separation assurance functions and their interactions. Each function was characterized by three behavior levels that may be needed to perform the task: skill, rule and knowledge based behavior levels. Then recommendations are made for allocating each function to an automation scale based on their behavior level characterization and with the help of subject matter experts.