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A Systems Analysis of the Introduction of Unmanned Aircraft Into Aircraft Carrier Operations
- Source :
- IEEE Transactions on Human-Machine Systems. 46:209-220
- Publication Year :
- 2016
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2016.
-
Abstract
- Recent advances in unmanned and autonomous vehicle technology are accelerating the push to integrate these vehicles into environments, such as the National Airspace System, the national highway system, and many manufacturing environments. These environments will require close collaboration between humans and vehicles, and their large scales mean that real-world field trials may be difficult to execute due to concerns of cost, availability, and technological maturity. This paper describes the use of an agent-based model to explore the system-level effects of unmanned vehicle implementation on the performance of these collaborative human–vehicle environments. In particular, this paper explores the introduction of three different unmanned vehicle control architectures into aircraft carrier flight deck operations. The different control architectures are tested under an example mission scenario using 22 aircraft. Results show that certain control architectures can improve the rate of launches, but these improvements are limited by the structure of flight deck operations and nature of the launch task (which is defined independently of vehicles). Until the launch task is improved, the effects of unmanned vehicle control architectures on flight deck performance will be limited.
- Subjects :
- 020301 aerospace & aeronautics
0209 industrial biotechnology
Computer Networks and Communications
Computer science
Control (management)
ComputerApplications_COMPUTERSINOTHERSYSTEMS
Human Factors and Ergonomics
02 engineering and technology
Field (computer science)
Computer Science Applications
Cockpit
Task (project management)
Human-Computer Interaction
National Airspace System
020901 industrial engineering & automation
Systems analysis
0203 mechanical engineering
Artificial Intelligence
Control and Systems Engineering
Signal Processing
Systems engineering
Robot
Routing (electronic design automation)
Subjects
Details
- ISSN :
- 21682305 and 21682291
- Volume :
- 46
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Human-Machine Systems
- Accession number :
- edsair.doi...........4e8ba51e750e773686cebd9952775a5b
- Full Text :
- https://doi.org/10.1109/thms.2014.2376355