• DocumentCode
    1429532
  • Title

    A review of conflict detection and resolution modeling methods

  • Author

    Kuchar, James K. ; Yang, Lee C.

  • Author_Institution
    MIT, Cambridge, MA, USA
  • Volume
    1
  • Issue
    4
  • fYear
    2000
  • fDate
    12/1/2000 12:00:00 AM
  • Firstpage
    179
  • Lastpage
    189
  • Abstract
    A number of methods have been proposed to automate air traffic conflict detection and resolution (CDR), but there has been little cohesive discussion or comparative evaluation of approaches. The paper presents a survey of 68 CDR modeling methods, several of which are currently in use or under operational evaluation. A framework that articulates the basic functions of CDR is used to categorize the models. The taxonomy includes: dimensions of state information (vertical, horizontal, or three-dimensional, 3-D); method of dynamic state propagation (nominal, worst case, or probabilistic); conflict detection threshold; conflict resolution method (prescribed, optimized, force field, or manual); maneuvering dimensions (speed change, lateral, vertical, or combined manoeuvres); and management of multiple aircraft conflicts (pairwise or global). An overview of important considerations for these and other CDR functions is provided, and the current system design process is critiqued
  • Keywords
    air traffic control; probability; state estimation; air traffic; conflict detection; conflict resolution; dynamic state propagation; maneuvering dimensions; modeling methods; state information; Aerospace control; Air safety; Air traffic control; Aircraft; Automation; Humans; Intelligent transportation systems; NASA; Space technology; Traffic control;
  • fLanguage
    English
  • Journal_Title
    Intelligent Transportation Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1524-9050
  • Type

    jour

  • DOI
    10.1109/6979.898217
  • Filename
    898217