Multi-Agent systems for air traffic conflicts resolution by using a causal analysis of spatio-Temporal interdependencies

Miquel Angel Piera, Marko Radanovic, Xavier Leal

    Research output: Contribution to conferenceConference Paperpeer-review

    Abstract

    Current Air Traffic Management research programs (i.e. Single European Sky ATM Research (SESAR), next generation air transportation system (NextGen)), try to overcome airside capacity shortages while improving cost- efficient operations and safety. An increment in the airspace traffic density can lead to congested traffic scenarios for which it becomes necessary to develop new safety- procedures to tackle air traffic complexity. This paper presents an innovative conflict resolution system that mitigates present airside latent capacity by a cooperative resolution mechanism in which a negotiation between aircraft-Agents deals with conflict free resolution trajectories. A causal analysis using Colored Petri Net (CPN) formalism is presented as a key approach to analyze the state space of a congested traffic scenario to avoid emergent dynamics and downstream negative effects on the surrounding traffic.

    Original languageEnglish
    Pages205-212
    Number of pages8
    Publication statusPublished - 2016
    Event48th Summer Computer Simulation Conference, SCSC 2016, Part of the 2016 Summer Simulation Multi-Conference, SummerSim 2016 - Montreal, Canada
    Duration: 24 Jul 201627 Jul 2016

    Conference

    Conference48th Summer Computer Simulation Conference, SCSC 2016, Part of the 2016 Summer Simulation Multi-Conference, SummerSim 2016
    Country/TerritoryCanada
    CityMontreal
    Period24/07/1627/07/16

    Bibliographical note

    Publisher Copyright:
    © 2016 Society for Modeling & Simulation International (SCS).

    Copyright:
    Copyright 2016 Elsevier B.V., All rights reserved.

    Keywords

    • Coloured petri nets
    • Conflict detection
    • Conflict resolution
    • Multi agent system

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