Justin Pearson

  1. Dynamic Demand-Capacity Balancing for Air Traffic Management Using Constraint-Based Local Search: First Results.

    Authors: Farshid Hassani Bijarbooneh, Pierre Flener, Justin Pearson
    Subjects: Artificial Intelligence
    Abstract

    Using constraint-based local search, we effectively model and efficiently
    solve the problem of balancing the traffic demands on portions of the European
    airspace while ensuring that their capacity constraints are satisfied. The
    traffic demand of a portion of airspace is the hourly number of flights planned
    to enter it, and its capacity is the upper bound on this number under which
    air-traffic controllers can work. Currently, the only form of demand-capacity
    balancing we allow is ground holding, that is the changing of the take-off
    times of not yet airborne flights.

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