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Passenger-centric Big Data Sources for Socio-economic and Behavioural Research in ATM

Deliverables

Inventory and Quality Assessment of Data Sources for ATM Socio-economic and Behavioural Studies

Report proving an inventory of the different datasets available to the project, analysing their untapped potential and their limitations and specifying the research questions that will be explored in the data analysis and modelling phase.

Applications of Passenger-Centric Geolocation Data to the Planning and Management of the ATM System: Case Studies

Report describing the results of the results and conclusions of the case studies.

Analysis of Passenger Behaviour from ICT-based Geolocation Data

Report describing the results of the different types of the data analysis and modelling work.

Project Results Final Report

Project Results Final Report, in accordance with the Project Execution Guidelines for SESAR 2020 Exploratory Research. It will include a publishable summary of the entire project, as an input to the Project Close-out Meeting, and when applicable, to the associated Review Meeting or Project Gate. The Project Results Final Report will summarise the project scope and objectives, the achieved results and main conclusions, the performed communication and dissemination actions, and the exploitation and follow-up activities proposed for the next stage of the R&I lifecycle. It will also include a self-assessment of the TRL achieved at the end of the project.

Project Website

Public website including all the communication and dissemination material produced by the project.

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Publications

New Data Sources to Study Airport Competition

Author(s): Riccardo Gallotti, Marc Fuster and José Javier Ramasco
Published in: Proceedings of the 7th SESAR Innovation Days, Issue November 2017, 2017

Understanding Door-to-Door Travel Times from Opportunistically Collected Mobile Phone Records: A Case Study of Spanish Airports

Author(s): Pedro García-Albertos, Oliva García Cantú Ros, Ricardo Herranz, Carla Ciruelos
Published in: Proceedings of the 7th SESAR Innovation Days, Issue November 2017, 2017

Analyzing Door to Door Travel Times Through Mobile Phone Data

Author(s): Pedro García-Albertos, Oliva García Cantú Ros and Ricardo Herranz
Published in: Proceedings of the 8th International Conference on Research in Air Transportation, Issue June 2018, 2018

Big Data Analytics for a Passenger-Centric Air Traffic Management System: A Case Study of Door-to-Door Intermodal Passenger Journey Inferred from Mobile Phone Data

Author(s): Pedro García, José Javier Ramasco, Gennady Andrienko, Nicole Adler, Carla Ciruelos and Ricardo Herranz
Published in: Proceedings of the Sixth SESAR Innovation Days, Issue November 2016, 2016

Biases and errors in the temporal sampling of random movements

Author(s): Riccardo Gallotti, Rémi Louf, Jean-Marc Luck, Marc Barthelemy
Published in: Proceedings of NetMob 2017, Issue April 2017, 2017, Page(s) 90-91

Tracking random walks

Author(s): Riccardo Gallotti, Rémi Louf, Jean-Marc Luck, Marc Barthelemy
Published in: Journal of The Royal Society Interface, Issue 15/139, 2018, Page(s) 20170776, ISSN 1742-5689
DOI: 10.1098/rsif.2017.0776

Visual Analytics of Mobility and Transportation: State of the Art and Further Research Directions

Author(s): Gennady Andrienko, Natalia Andrienko, Wei Chen, Ross Maciejewski and Ye Zhao
Published in: IEEE Transactions on Intelligent Transportation Systems, Issue Volume PP Issue 99, 2017, Page(s) 1-18, ISSN 1524-9050
DOI: 10.1109/TITS.2017.2683539

Big Data Analytics for Socioeconomic and Behavioural Research in ATM: State-of-the-art and Future Challenges

Author(s): BigData4ATM Consortium
Published in: Issue May 2016, 2016