BigData4ATM Position Paper

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Join our group on ATM Economics

& Performance

BigData4ATM (Passenger-centric Big Data Sources for Socio-economic and Behavioural Research in ATM) is a research project within SESAR 2020 Exploratory Research which aims to investigate how new sources of passenger-centric data coming from smart personal devices can be analysed to extract relevant information about passengers’ behaviour and how this information can be used to inform ATM decision making processes. The project is conducted by a consortium composed by Nommon (Project Coordinator), IFISC, Fraunhofer-IAIS, the Hebrew University of Jerusalem, and ISDEFE. The project started on 9 May 2016 and will run for 24 months.