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Deriving safety constraints for integration of unmanned aircraft systems into the national airspace by application of STECA

Author(s)
Urano, Yusuke
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Other Contributors
Technology and Policy Program.
Advisor
Nancy G. Leveson.
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M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582
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Abstract
Unmanned aircraft systems (UAS) have been used for years especially in the military. However, the operation of UAS in civil aviation has been limited since there are a lot of uncertainties: a regulatory scheme needs to be established and associated technologies need to be developed. This thesis contributes to both technology development and establishing a regulatory scheme for UAS by generating safety constraints using the new methodology developed by Professor Leveson and Dr. Fleming. This methodology is called "'Systems-Theoretic Early Concept Analysis" (STECA) and is based on Systems-Theoretic Accident Model and Processes (STAMP) analysis, which is also developed by the professor. STECA has potential to generate more safety constraints that have not been considered otherwise in the early stage of development and this allows the producer to redesign the entire system with potentially less cost. This thesis illustrates why and how STECA can be powerful to support integration of UAS into NAS. In addition, this thesis actually demonstrates how STECA derives safety constraints as a case study and shows how the safety constraints should be integrated in the system development.
Description
Thesis: S.M. in Technology and Policy, Massachusetts Institute of Technology, School of Engineering, Institute for Data, Systems, and Society, Technology and Policy Program, 2016.
 
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
 
Cataloged from student-submitted PDF version of thesis.
 
Includes bibliographical references (pages 129-132).
 
Date issued
2016
URI
http://hdl.handle.net/1721.1/104813
Department
Massachusetts Institute of Technology. Engineering Systems Division; Massachusetts Institute of Technology. Institute for Data, Systems, and Society; Technology and Policy Program
Publisher
Massachusetts Institute of Technology
Keywords
Institute for Data, Systems, and Society., Engineering Systems Division., Technology and Policy Program.

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