TY - GEN
T1 - Synthesis of allocations of authority in air traffic concepts of operation
AU - Bhattacharyya, Raunak Pushpak
AU - Pritchett, Amy
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/12/7
Y1 - 2016/12/7
N2 - Innovative air traffic concepts of operation are now possible that enable novel allocations of authority and responsibility between air and ground, and between humans and automation. This paper proposes a systematic approach for the synthesis of allocations of authority and responsibility early in the design of a concept of operations to achieve its performance and safety goals. The methodology models the concept of operations as a network of actions to treat the synthesis of authority allocation as a network optimization problem. A case study involving merging and spacing operations is provided in which allocations of authority are created to minimize information transfer between agents under varying responsibility allocations and varying requirements for balancing taskload across agents. The results demonstrate how significantly metrics such as information transfer between agents, and their taskload, can vary with different allocations and, thus, how the methodology proposed here can quickly help identify appropriate allocations of authority and responsibility.
AB - Innovative air traffic concepts of operation are now possible that enable novel allocations of authority and responsibility between air and ground, and between humans and automation. This paper proposes a systematic approach for the synthesis of allocations of authority and responsibility early in the design of a concept of operations to achieve its performance and safety goals. The methodology models the concept of operations as a network of actions to treat the synthesis of authority allocation as a network optimization problem. A case study involving merging and spacing operations is provided in which allocations of authority are created to minimize information transfer between agents under varying responsibility allocations and varying requirements for balancing taskload across agents. The results demonstrate how significantly metrics such as information transfer between agents, and their taskload, can vary with different allocations and, thus, how the methodology proposed here can quickly help identify appropriate allocations of authority and responsibility.
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U2 - 10.1109/DASC.2016.7778047
DO - 10.1109/DASC.2016.7778047
M3 - Conference contribution
AN - SCOPUS:85009433522
T3 - AIAA/IEEE Digital Avionics Systems Conference - Proceedings
BT - 35th DASC Digital Avionics Systems Conference 2016, DASC 2016 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 35th DASC Digital Avionics Systems Conference, DASC 2016
Y2 - 25 September 2016 through 29 September 2016
ER -