Control theoretic concept for intuitive guidance of pilots during taxiing

Haus, Steffen; Sendobry, Alexander; Urvoy, Carole; Klingauf, Uwe

doi:10.1109/dasc.2011.6096097

Cited by 3 publications

(1 citation statement)

References 2 publications

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“…The concept of trajectory-based taxi operations has been recently proposed to achieve more efficient ground movement (Okuniek et al, 2016). Instead of using standard taxi routes and purely reactive surface guidance, the trajectory-based approach generates conflict-free four-dimensional trajectories (4DTs) for all aircraft on the airport surface, and uses more sophisticated on-board or ground-based guidance technologies to keep pilots aware of the 4DT conformance status and the required maneuvers during taxiing (Bakowski et al, 2015;Biella et al, 2015;Foyle et al, 2011;Haus et al, 2011;Jones et al, 2014). This will largely eliminate the temporal uncertainty in the taxiing phase, making the holistic optimisation of interconnected airport operations (such as departure management and runway scheduling) more tractable (Weiszer et al, 2015a).…”

Section: Introductionmentioning

confidence: 99%

An online speed profile generation approach for efficient airport ground movement

Zhang

Ding

Zuo

et al. 2018

Transportation Research Part C: Emerging Technologies

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The precise guidance and control of taxiing aircraft based on four-dimensional trajectories (4DTs) has been recognised as a promising means to ensure safe and efficient airport ground movement in the context of ever growing air traffic demand. In this paper, a systematic approach for online speed profile generation is proposed. The aim is to generate fuel-efficient speed profiles respecting the timing constraints imposed by routing and scheduling, which ensures conflict-free movement of aircraft in the planning stage. The problem is first formulated as a nonlinear optimisation model, which uses a more flexible edge-based speed profile definition. A decomposed solution approach (following the framework of matheuristic) is then proposed to generate feasible speed profiles in real time. The decomposed solution approach reduces the nonlinear optimisation model into three tractable constituent problems. The control point arrival time allocation problem is solved using linear programming. The control point speed allocation problem is solved using particle swarm optimisation. And the complete speed profile between control points is determined using enumeration. Finally, improved speed profiles are generated through further optimisation upon the feasible speed profiles. The effectiveness and advantages of the proposed approach are validated using datasets of real-world airports.

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