A Particle System for Safety Verification of Free Flight in Air Traffic

H.A.P. Blom, J. Krystul, G.J. Bakker

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    24 Citations (Scopus)

    Abstract

    Under free flight, an aircrew has both the freedom to select their trajectory and the responsibility of resolving conflicts with other aircraft. The general belief is that free flight can be made safe under low traffic conditions. Increasing traffic, however, raises safety verification issues. This problem is formulated as one of estimating for a large scale stochastic hybrid system the probability of reaching a small collision set. The huge state space prohibits the use of existing numerical approaches to solve this safety verification problem. As an alternative we study randomization methods, the simplest of which would be to run many Monte Carlo simulations with a stochastic model of free flight operations, and count the number of runs during which a collision between two or more aircraft occurs. The huge state space prohibits such a straightforward MC simulation approach. By exploiting recent particle system theory by Del Moral and co-workers, this paper develops a sequential Monte Carlo simulation approach for the estimation of collision risk in a future air traffic scenario. The working of the resulting particle system is demonstrated for an eight aircraft scenario under free flight air traffic conditions.
    Original languageUndefined
    Title of host publication45th IEEE Conference on Decision and Control
    PublisherElsevier
    Pages1574-1579
    Number of pages6
    ISBN (Print)1-4244-0171-2
    DOIs
    Publication statusPublished - 13 Dec 2006
    Event45th IEEE Conference on Decision and Control, CDC 2006 - San Diego, United States
    Duration: 13 Dec 200615 Dec 2006
    Conference number: 45

    Publication series

    Name
    PublisherIEEE
    NumberA219
    ISSN (Print)0191-2216

    Conference

    Conference45th IEEE Conference on Decision and Control, CDC 2006
    Abbreviated titleCDC
    CountryUnited States
    CitySan Diego
    Period13/12/0615/12/06

    Keywords

    • EWI-9131
    • IR-63929
    • METIS-237930

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