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 Telecommunications and Systems Engineering

Research output: Contribution to journal › Article › Research › peer-review

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 language	American English
Journal	2018 International Conference on Advances in Big Data, Computing and Data Communication Systems, icABCD 2018
DOIs	https://doi.org/10.1109/ICABCD.2018.8465408
Publication status	Published - 13 Sept 2018

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)

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10.1109/ICABCD.2018.8465408

Cite this

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title = "A Negotiation Mechanism for a Consensus in Air Traffic Conflict Resolution",

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.",

keywords = "ecosystem, machine-To-machine ontology, multi agent system, negotiation mechanism, simulation",

author = "Piera, {Miquel Angel} and Ramos, {Juan Jose} and Ortiz, {Romualdo Moreno} and Marko Radanovic",

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.",

year = "2018",

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day = "13",

doi = "10.1109/ICABCD.2018.8465408",

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AU - Ramos, Juan Jose

AU - Ortiz, Romualdo Moreno

AU - Radanovic, Marko

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.

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KW - machine-To-machine ontology

KW - multi agent system

KW - negotiation mechanism

KW - simulation

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A Negotiation Mechanism for a Consensus in Air Traffic Conflict Resolution

Abstract

Keywords

UN SDGs

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