Aviation authorities are seeking optimization methods to better use the available infrastructure and better manage aircraft movements. This paper deals with the realtime scheduling of take-off and landing aircraft at a busy terminal control area and with the optimization of aircraft trajectories during the landing procedures. The first problem aims to reduce the propagation of delays, while the second problem aims to either minimize the travel time or reduce the fuel consumption. Both problems are particularly complex, since the first one is NP-hard while the second one is nonlinear and a combined solution needs to be computed in a short-time during operations. This paper proposes a framework for the lexicographic optimization of the two problems. Computational experiments are performed for the Milano Malpensa airport and show the existing gaps between the performance indicators of the two problems when different lexicographic optimization approaches are considered.


    Access

    Download


    Export, share and cite



    Title :

    Terminal Control Area Aircraft Scheduling and Trajectory Optimization Approaches


    Contributors:


    Publication date :

    2017




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown




    Optimal aircraft scheduling and flight trajectory in terminal control areas

    Sama, Marcella / D'Ariano, Andrea / Pacciarelli, Dario et al. | IEEE | 2017


    Aircraft Trajectory Prediction in Terminal Airspace Through Deep Learning Approaches

    Zhang, Wenxin / Payan, Alexia / Mavris, Dimitri | AIAA | 2024




    Terminal-Area Aircraft Intent Inference Approach Based on Online Trajectory Clustering

    Yang Yang / Jun Zhang / Kai-quan Cai | DOAJ | 2015

    Free access