TY - GEN
T1 - A model of integrated operator-system separation assurance and collision avoidance
AU - Landry, Steven J.
AU - Lagu, Amit V.
N1 - Copyright:
Copyright 2009 Elsevier B.V., All rights reserved.
PY - 2009
Y1 - 2009
N2 - A model for the separation assurance and collision avoidance in air traffic has been developed. The objective of the model is to provide qualitative and quantitative predictions of system behavior with respect to separation assurance and collision avoidance. No such model exists, complicating efforts to understand the impact of adding automation to the current system. The model integrates two concepts. First, the system models at the scope of the human-integrated system, instead of the level of the operator. This follows from the work of Duane McRuer, who found that only at the system level was the human as a control system modelable. Secondly, the system considers the separation assurance and collision avoidance problem as a control problem, where agent (automated and human) actions work to control the system from entering undesirable states. This broadly follows the methodology of system safety. Under this methodology, safety is determined by the ability of the agents in the system to impart control to prevent the system from reaching an unsafe state. The model defines system states, the events and conditions that cause transitions between states, and the control that agents in the system can impart to control those transitions.
AB - A model for the separation assurance and collision avoidance in air traffic has been developed. The objective of the model is to provide qualitative and quantitative predictions of system behavior with respect to separation assurance and collision avoidance. No such model exists, complicating efforts to understand the impact of adding automation to the current system. The model integrates two concepts. First, the system models at the scope of the human-integrated system, instead of the level of the operator. This follows from the work of Duane McRuer, who found that only at the system level was the human as a control system modelable. Secondly, the system considers the separation assurance and collision avoidance problem as a control problem, where agent (automated and human) actions work to control the system from entering undesirable states. This broadly follows the methodology of system safety. Under this methodology, safety is determined by the ability of the agents in the system to impart control to prevent the system from reaching an unsafe state. The model defines system states, the events and conditions that cause transitions between states, and the control that agents in the system can impart to control those transitions.
UR - http://www.scopus.com/inward/record.url?scp=70350675320&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=70350675320&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-02809-0_42
DO - 10.1007/978-3-642-02809-0_42
M3 - Conference contribution
AN - SCOPUS:70350675320
SN - 364202808X
SN - 9783642028083
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 394
EP - 402
BT - Digital Human Modeling - Second International Conference, ICDHM 2009 - Held as Part of HCI International 2009, Proceedings
T2 - 2nd International Conference on Digital Human Modeling, ICDHM 2009. Held as Part of HCI International 2009
Y2 - 19 July 2009 through 24 July 2009
ER -