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Conceptual Modeling of Cyber-Physical Gaps in Air Traffic Control
- Source :
- Procedia Computer Science. 140:21-28
- Publication Year :
- 2018
- Publisher :
- Elsevier BV, 2018.
-
Abstract
- On March 8, 2014, a Malaysia Airlines Boeing 777 carrying flight MH-370 from Kuala Lumpur to Beijing disappeared during its flight. In this paper, we employ a model-based approach to capture and study the chain of events leading to the disappearance of the aircraft. We show that the critical reason for the aircraft’s disappearance was a cyber-physical gap (CPG). The CPG is the difference between the real state of a physical entity and its state as perceived by cybernetic agents. Failure to acknowledge the CPG’s existence, capture it in system models, and incorporate suitable mitigation mechanisms into systems exposed to CPG, has resulted in the past and may result in the future in severe consequences. In the MH-370 case, the plane’s position and adherence to its flight course were misperceived by the air traffic control, resulting in failure to track and find the plane, to this day. Our approach to CPG analysis has been previously shown to assist both designers and users handle emergent situations resulting from CPGs, such as the Three-Mile Island nuclear reactor’s partial meltdown accident in 1979. We propose several mitigation mechanisms, whose integration with air traffic control systems could help prevent similar cases in the future.
- Subjects :
- 021103 operations research
Kuala lumpur
Chain of events (aeronautics)
Computer science
0211 other engineering and technologies
Cyber-physical system
02 engineering and technology
Air traffic control
Track (rail transport)
Risk analysis (engineering)
Beijing
0202 electrical engineering, electronic engineering, information engineering
General Earth and Planetary Sciences
020201 artificial intelligence & image processing
General Environmental Science
Subjects
Details
- ISSN :
- 18770509
- Volume :
- 140
- Database :
- OpenAIRE
- Journal :
- Procedia Computer Science
- Accession number :
- edsair.doi...........81e82c61b376b8ebf89c3b2cba207fa4
- Full Text :
- https://doi.org/10.1016/j.procs.2018.10.288