• DocumentCode
    674178
  • Title

    A track search optimization method for implicit coordination

  • Author

    Pengfei Duan ; de Haag, Maarten Uijt

  • Author_Institution
    Ohio Univ., Athens, OH, USA
  • fYear
    2013
  • fDate
    5-10 Oct. 2013
  • Abstract
    As one of the future surveillance applications that support high performance operations in the Next Generation Air Transportation System (NextGen), Airborne Conflict Management (ACM) includes self-separation as well as conflict detection and resolution (CDR) functions. The functions evaluate possible future loss of separation, detect conflicts in a timely manner, and provide resolution options where necessary. Furthermore, CDR can be performed either independently or coordinated. Implicit conflict coordination is an efficient solution to CDR since it allocates the maneuver requirement to multiple aircraft and often results in a less overall disruption to airspace while assuming no data exchange between conflicting aircraft other than surveillance data (i.e. positions, velocity). This paper summarizes the methodology of typical geometric-based conflict resolution, explores the issues and problems of extending independent resolution methods to coordination methods, and proposes a track search optimization method to find the optimal solution for coordination based on criteria that minimizing certain cost functions.
  • Keywords
    aircraft; search problems; ACM; CDR functions; NextGen; airborne conflict management; airspace; conflict detection and resolution functions; cost functions; geometric-based conflict resolution; implicit conflict coordination; independent resolution methods; multiple aircraft; next generation air transportation system; surveillance data; track search optimization method; Air traffic control; Aircraft; Equations; Geometry; Surveillance; Traffic control; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Avionics Systems Conference (DASC), 2013 IEEE/AIAA 32nd
  • Conference_Location
    East Syracuse, NY
  • ISSN
    2155-7195
  • Print_ISBN
    978-1-4799-1536-1
  • Type

    conf

  • DOI
    10.1109/DASC.2013.6712611
  • Filename
    6712611