Identifying and modelling correlation between airport weather conditions and additional time in airport arrival sequencing and metering area. (16th July 2019)

• Record Type: Journal Article
• Authors: Bagamanova, Margarita; González, Juan José Ramos; Eroles, Miquel Àngel Piera; García, Jose Manuel Cordero; Rodríguez-Sanz, Álvaro
• Is Part Of: International journal of simulation and process modelling. Volume 14:Number 3(2019)
• Page Start: 213
• Page End: 222
• Publication Date: 2019-07-16
• Subjects: ASMA time -- holding -- inbound traffic -- weather impact -- Bayesian networks -- coloured Petri net -- CPN -- airport -- decision support tool -- TMA model; Management -- Computer simulation -- Periodicals; Mathematical models -- Periodicals; Operations research -- Periodicals; Simulation methods -- Periodicals; 003.05
• Languages: English
• ISSNs: 1740-2123

Abstract

Different uncertainties during operational activities of modern airports can significantly delay some processes and cause chain-effect performance drop on the overall air traffic management (ATM) system. The decision-making process to mitigate the propagation of perturbations through the different airport processes can be improved with the support of a causal model, built with a use of data mining and machine learning techniques. This paper introduces a new approach for modelling causal relationships between various ATM performance indicators, which can be used to predict, by means of simulation techniques, the evolution of airport operations scenarios. The analysis of reachable airport states is a relevant approach to design mitigation mechanisms on those perturbations which drive the system to poor KPIs.