Real-time airport surface movement planning: Minimizing aircraft emissions |
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| Institution: | 1. Instititute of Transportation Studies, Department of Civil and Environmental Engineering, University of California, Berkeley, Berkeley, CA, USA;2. Department of City and Regional Planning, Department of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia, PA, USA;1. Ecole Nationale de l’Aviation Civile, University of Toulouse, 7 Avenue Edouard Belin, Toulouse 31055, France;2. Mathematical Institute of Toulouse, University of Toulouse, 118 Route de Narbonne, Toulouse 31062, France;1. Ecole Nationale de l’Aviation Civile, University of Toulouse, 7 Avenue Edouard Belin, Toulouse 31055, France;2. Mathematical Institute of Toulouse, University of Toulouse, 118 Route de Narbonne, Toulouse 31062, France;1. Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Department of Mathematics, Discrete Optimization, Cauerstr. 11, 91058 Erlangen, Germany;2. German Aerospace Center (DLR), Institute of Flight Guidance, Lilienthalplatz 7, 38108 Braunschweig, Germany |
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| Abstract: | This paper presents a study towards the development of a real-time taxi movement planning system that seeks to optimize the timed taxiing routes of all aircraft on an airport surface, by minimizing the emissions that result from taxiing aircraft operations. To resolve this online planning problem, one of the most commonly employed operations research methods for large-scale problems has been successfully used, viz., mixed-integer linear programming (MILP). The MILP formulation implemented herein permits the planning system to update the total taxi planning every 15 s, allowing to respond to unforeseen disturbances in the traffic flow. Extensive numerical experiments involving a realistic (hub) airport environment bear out that an estimated environmental benefit of 1–3 percent per emission product can be obtained. This research effort clearly demonstrates that a surface movement planning system capable of minimizing the emissions in conjunction with the total taxiing time can be beneficial for airports that face dense surface traffic and stringent environmental requirements. |
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| Keywords: | Airport surface movement planning Emissions Mixed-integer linear programming |
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