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
CountryCanada
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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