Multi-aviation airspace: Insights into knowledge technologies for comprehensive air navigation

Increasingly crowded airspaces are bringing the attention of the aviation community since diverse users try to make use of a common airspace. The challenge is to identify and implement technologies to effectively but also efficiently manage an integrated multi-aviation airspace. This paper briefly presents a comprehensive synopsis of efforts to unify air navigation regulations so that the airspace can be effectively shared by multiple aviation pilots and aircraft. It recalls proposals to enable aviation sectors to coexist in the same airspace. The focus of this paper is on insights into Knowledge Technologies (KTs) to facilitate procurement and management of a shared multi-aviation airspace. It discusses challenges and opportunities when implementing KT solutions to facilitate the integration of different aviation capabilities for a shared airspace. The analysis presented selectively explores software engineering for bottom-up/top-down integration along with artificial intelligence traits such as knowledge representation. Concluding remarks and the way forward to foster KT solutions for integration of multiple aviation in a single airspace are also presented.

[1]  Valentin Polishchuk,et al.  Noise Estimation for future large-scale small UAS Operations , 2017 .

[2]  Valentin Polishchuk,et al.  A threshold based airspace capacity estimation method for UAS traffic management , 2017, 2017 Annual IEEE International Systems Conference (SysCon).

[3]  Sanjay Pant,et al.  Power Grid Physics and Implications for CAD , 2007, IEEE Design & Test of Computers.

[4]  B. A. Calloni,et al.  INSERT: a COTS-based solution for building high-assurance applications , 1999, Gateway to the New Millennium. 18th Digital Avionics Systems Conference. Proceedings (Cat. No.99CH37033).

[5]  R. Sengupta,et al.  Unmanned Aviation : To Be Free or Not To Be Free ? A complexity based approach , 2016 .

[6]  Mica R. Endsley,et al.  Situation awareness global assessment technique (SAGAT) , 1988, Proceedings of the IEEE 1988 National Aerospace and Electronics Conference.

[7]  Rajive Joshi,et al.  A Comparison and Mapping of Data Distribution Service ( DDS ) and Java Message Service ( JMS ) , 2006 .

[8]  Jeffrey Homola,et al.  Unmanned Aircraft Systems (UAS) Traffic Management (UTM) National Campaign II , 2018 .

[9]  Feilong Tang,et al.  Research on a Generalized Die CAD System Architecture Based on SOA and Web Service , 2006, APWeb Workshops.

[10]  Valentin Polishchuk,et al.  Sampling-based capacity estimation for unmanned traffic management , 2017, 2017 IEEE/AIAA 36th Digital Avionics Systems Conference (DASC).

[11]  Sesar Joint Undertaking European drones outlook study - Unlocking the value for Europe , 2016 .

[12]  Liz Sonenberg,et al.  Situation awareness in intelligent agents: foundations for a theory of proactive agent behavior , 2004, ACM International Conference on International Agent Technology.

[13]  Mykel J. Kochenderfer,et al.  Collision avoidance for unmanned aircraft using coordination tables , 2016, 2016 IEEE/AIAA 35th Digital Avionics Systems Conference (DASC).

[14]  Valentin Polishchuk,et al.  Flexible Airlane Generation to Maximize Flow Under Hard and Soft Constraints , 2011 .

[15]  Erik Blasch,et al.  Ontological knowledge representation for avionics decision-making support , 2016, 2016 IEEE/AIAA 35th Digital Avionics Systems Conference (DASC).

[16]  Harold W. Dean,et al.  Implementing a Blackboard Based Information Fusion Architecture Using the CEENSS Methodology , 1998 .

[17]  Raymond Y. K. Lau Towards a web services and intelligent agents-based negotiation system for B2B eCommerce , 2007, Electron. Commer. Res. Appl..

[18]  Eloi Bosse,et al.  High-Level Information Fusion Management and System Design , 2012 .

[19]  Valentin Polishchuk,et al.  Decentralized self-propagating ground delay for UTM: Capitalizing on domino effect , 2017, 2017 Integrated Communications, Navigation and Surveillance Conference (ICNS).

[20]  Joseph S. B. Mitchell,et al.  Routing multi-class traffic flows in the plane , 2012, Comput. Geom..

[21]  Scott E. McIntosh The Wingman-Philosopher of MiG Alley: John Boyd and the OODA Loop , 2011 .

[22]  Lifeng Xi,et al.  Service-oriented communication architecture for automated manufacturing system integration , 2008, Int. J. Comput. Integr. Manuf..

[23]  Erik Blasch,et al.  Ontologies for nextgen avionics systems , 2015, 2015 IEEE/AIAA 34th Digital Avionics Systems Conference (DASC).

[24]  Hyeon Soo Kim,et al.  Development of an e-Engineering Framework Based on Service-Oriented Architectures , 2006, CDVE.

[25]  Ruth E. Stilwell,et al.  The bridge to space: CNS technology for high altitude operations , 2017, 2017 Integrated Communications, Navigation and Surveillance Conference (ICNS).

[26]  Raja Sengupta,et al.  Capacity estimation for low altitude airspace , 2017 .

[27]  V. Clark Information fusion architectures for next generation avionics systems , 1996, Proceedings of the IEEE 1996 National Aerospace and Electronics Conference NAECON 1996.

[28]  Marcus Johnson,et al.  UAS Traffic Management (UTM) Concept of Operations to Safely Enable Low Altitude Flight Operations , 2016 .