A Negotiation Mechanism for a Consensus in Air Traffic Conflict Resolution

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

doi:10.1109/ICABCD.2018.8465408

A Negotiation Mechanism for a Consensus in Air Traffic Conflict Resolution

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

Department of Engineering Mathematics

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

2 Citations (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 language	English
Title of host publication	2018 International Conference on Advances in Big Data, Computing and Data Communication Systems, icABCD 2018
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
ISBN (Print)	9781538630600
DOIs	https://doi.org/10.1109/ICABCD.2018.8465408
Publication status	Published - 13 Sept 2018
Event	2018 International Conference on Advances in Big Data, Computing and Data Communication Systems, icABCD 2018 - Durban, South Africa Duration: 6 Aug 2018 → 7 Aug 2018

Publication series

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

Conference

Conference	2018 International Conference on Advances in Big Data, Computing and Data Communication Systems, icABCD 2018
Country/Territory	South Africa
City	Durban
Period	6/08/18 → 7/08/18

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/ICABCD.2018.8465408

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Persistent link

Cite this

Piera, M. A., Ramos, J. J., Ortiz, R. M., & Radanovic, M. (2018). A Negotiation Mechanism for a Consensus in Air Traffic Conflict Resolution. In 2018 International Conference on Advances in Big Data, Computing and Data Communication Systems, icABCD 2018 Article 8465408 (2018 International Conference on Advances in Big Data, Computing and Data Communication Systems, icABCD 2018). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICABCD.2018.8465408

Piera, Miquel Angel ; Ramos, Juan Jose ; Ortiz, Romualdo Moreno et al. / A Negotiation Mechanism for a Consensus in Air Traffic Conflict Resolution. 2018 International Conference on Advances in Big Data, Computing and Data Communication Systems, icABCD 2018. Institute of Electrical and Electronics Engineers (IEEE), 2018. (2018 International Conference on Advances in Big Data, Computing and Data Communication Systems, icABCD 2018).

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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.",

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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{\textquoteright} views only. Publisher Copyright: {\textcopyright} 2018 IEEE. Copyright: Copyright 2018 Elsevier B.V., All rights reserved.; 2018 International Conference on Advances in Big Data, Computing and Data Communication Systems, icABCD 2018 ; Conference date: 06-08-2018 Through 07-08-2018",

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Piera, MA, Ramos, JJ, Ortiz, RM & Radanovic, M 2018, A Negotiation Mechanism for a Consensus in Air Traffic Conflict Resolution. in 2018 International Conference on Advances in Big Data, Computing and Data Communication Systems, icABCD 2018., 8465408, 2018 International Conference on Advances in Big Data, Computing and Data Communication Systems, icABCD 2018, Institute of Electrical and Electronics Engineers (IEEE), 2018 International Conference on Advances in Big Data, Computing and Data Communication Systems, icABCD 2018, Durban, South Africa, 6/08/18. https://doi.org/10.1109/ICABCD.2018.8465408

A Negotiation Mechanism for a Consensus in Air Traffic Conflict Resolution. / Piera, Miquel Angel; Ramos, Juan Jose; Ortiz, Romualdo Moreno et al.
2018 International Conference on Advances in Big Data, Computing and Data Communication Systems, icABCD 2018. Institute of Electrical and Electronics Engineers (IEEE), 2018. 8465408 (2018 International Conference on Advances in Big Data, Computing and Data Communication Systems, icABCD 2018).

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

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AU - Ortiz, Romualdo Moreno

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N1 - 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.

PY - 2018/9/13

Y1 - 2018/9/13

N2 - 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.

AB - 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.

KW - ecosystem

KW - machine-To-machine ontology

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M3 - Conference Contribution (Conference Proceeding)

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SN - 9781538630600

T3 - 2018 International Conference on Advances in Big Data, Computing and Data Communication Systems, icABCD 2018

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

PB - Institute of Electrical and Electronics Engineers (IEEE)

T2 - 2018 International Conference on Advances in Big Data, Computing and Data Communication Systems, icABCD 2018

Y2 - 6 August 2018 through 7 August 2018

ER -

Piera MA, Ramos JJ, Ortiz RM, Radanovic M. A Negotiation Mechanism for a Consensus in Air Traffic Conflict Resolution. In 2018 International Conference on Advances in Big Data, Computing and Data Communication Systems, icABCD 2018. Institute of Electrical and Electronics Engineers (IEEE). 2018. 8465408. (2018 International Conference on Advances in Big Data, Computing and Data Communication Systems, icABCD 2018). doi: 10.1109/ICABCD.2018.8465408

A Negotiation Mechanism for a Consensus in Air Traffic Conflict Resolution

Abstract

Publication series

Conference

Bibliographical note

Keywords

UN SDGs

Access to Document

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