A Negotiation Mechanism for a Consensus in Air Traffic Conflict Resolution

Miquel Angel Piera, Juan Jose Ramos, Romualdo Moreno Ortiz, Marko Radanovic

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

1 Citation (Scopus)

Abstract

The demand for drone services is increasing at a very fast pace, holding enormous promise in terms of business opportunities, economic growth with the development of a multitude of new and innovative services, as well as societal benefits. Autonomous aerial vehicles rely on new technologies that can ensure a stable flight in a controlled volume but it lacks cooperative mechanisms in unmanned traffic management airspace areas. In this paper it is presented a new framework to support a negotiated conflict resolution mechanism in which aircraft compete to preserve their preferred trajectories while at the same time cooperate to maintain safety factor levels. An ontology has been designed to support an ecosystem vision to enhance a win-To-win resolution under an overriding resolution control in case a negotiation deadlock is predicted.

Original languageEnglish
Title of host publication2018 International Conference on Advances in Big Data, Computing and Data Communication Systems, icABCD 2018
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
ISBN (Print)9781538630600
DOIs
Publication statusPublished - 13 Sep 2018
Event2018 International Conference on Advances in Big Data, Computing and Data Communication Systems, icABCD 2018 - Durban, South Africa
Duration: 6 Aug 20187 Aug 2018

Publication series

Name2018 International Conference on Advances in Big Data, Computing and Data Communication Systems, icABCD 2018

Conference

Conference2018 International Conference on Advances in Big Data, Computing and Data Communication Systems, icABCD 2018
CountrySouth Africa
CityDurban
Period6/08/187/08/18

Bibliographical note

Funding Information:
ACKNOWLEDGMENT This research is partially supported by the H2020 Research and Innovation Programme, Project: Adaptive self-Governed aerial Ecosystem by Negotiated Traffic (Grant Agreement No. 699313), and the national Spanish project: “EU-TM” (ref. TRA2017-88724-R). Opinions expressed in this article reflect the authors’ views only.

Publisher Copyright:
© 2018 IEEE.

Copyright:
Copyright 2018 Elsevier B.V., All rights reserved.

Keywords

  • ecosystem
  • machine-To-machine ontology
  • multi agent system
  • negotiation mechanism
  • simulation

Cite this