Simulating Ground Traffic on Airports Using Cellular Automata: The CAMAT-Model
Florian Mazur () and
Michael Schreckenberg ()
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Florian Mazur: University of Duisburg-Essen, Physics of Transport and Traffic
Michael Schreckenberg: University of Duisburg-Essen, Physics of Transport and Traffic
A chapter in Traffic and Granular Flow '17, 2019, pp 395-403 from Springer
Abstract:
Abstract Based on the Nagel–Schreckenberg cellular automaton model for freeway traffic (Nagel and Schreckenberg, J. Phys. I 2:2221–2229, 1992), a model for simulating ground traffic on airports, the CAMAT-model (cellular automaton model for airport traffic), was developed. The model was designed and calibrated by empirical research and presents the dynamic of airplanes from the point of touchdown on the runway to the gate or from the gate (including pushback if necessary) to the point of takeoff. For this purpose the behavior of airplanes was studied on the international airport of Duesseldorf, complemented by specific data provided by the German air traffic control (Deutsche Flugsicherung, DFS). The new model’s main goal is to simulate the dynamics of all airplanes as realistically as possible and to give an airport planner the opportunity to simulate changes in layout or routing for improvement and optimization.
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-11440-4_43
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DOI: 10.1007/978-3-030-11440-4_43
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