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

Projektinformationen

BigData4ATM

ID Finanzhilfevereinbarung: 699260

DOI

10.3030/699260

Projekt abgeschlossen

EK-Unterschriftsdatum 3 Mai 2016

Startdatum 9 Mai 2016

Enddatum 8 Mai 2018

Finanziert unter

• SOCIETAL CHALLENGES - Smart, Green And Integrated Transport

Gesamtkosten

€ 599 732,50

EU-Beitrag

€ 599 732,50

Koordiniert durch

NOMMON SOLUTIONS AND TECHNOLOGIES SL
Spain

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Leistungen

Documents, reports (4)

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.

Websites, patent fillings, videos etc. (1)

Project Website

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

Veröffentlichungen

Conference proceedings (5)

New Data Sources to Study Airport Competition

Autoren: Riccardo Gallotti, Marc Fuster and José Javier Ramasco
Veröffentlicht in: Proceedings of the 7th SESAR Innovation Days, Ausgabe November 2017, 2017
Herausgeber: EUROCONTROL

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

Autoren: Pedro García-Albertos, Oliva García Cantú Ros, Ricardo Herranz, Carla Ciruelos
Veröffentlicht in: Proceedings of the 7th SESAR Innovation Days, Ausgabe November 2017, 2017
Herausgeber: EUROCONTROL

Analyzing Door to Door Travel Times Through Mobile Phone Data

Autoren: Pedro García-Albertos, Oliva García Cantú Ros and Ricardo Herranz
Veröffentlicht in: Proceedings of the 8th International Conference on Research in Air Transportation, Ausgabe June 2018, 2018
Herausgeber: International Conference on Research in Air Transportation

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

Autoren: Pedro García, José Javier Ramasco, Gennady Andrienko, Nicole Adler, Carla Ciruelos and Ricardo Herranz
Veröffentlicht in: Proceedings of the Sixth SESAR Innovation Days, Ausgabe November 2016, 2016
Herausgeber: EUROCONTROL

Biases and errors in the temporal sampling of random movements

Autoren: Riccardo Gallotti, Rémi Louf, Jean-Marc Luck, Marc Barthelemy
Veröffentlicht in: Proceedings of NetMob 2017, Ausgabe April 2017, 2017, Seite(n) 90-91
Herausgeber: Vodafone - MIT - UC3M - UCL

Peer reviewed articles (2)

Tracking random walks

Autoren: Riccardo Gallotti, Rémi Louf, Jean-Marc Luck, Marc Barthelemy
Veröffentlicht in: Journal of The Royal Society Interface, Ausgabe 15/139, 2018, Seite(n) 20170776, ISSN 1742-5689
Herausgeber: The Royal Society
DOI: 10.1098/rsif.2017.0776

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

Autoren: Gennady Andrienko, Natalia Andrienko, Wei Chen, Ross Maciejewski and Ye Zhao
Veröffentlicht in: IEEE Transactions on Intelligent Transportation Systems, Ausgabe Volume PP Ausgabe 99, 2017, Seite(n) 1-18, ISSN 1524-9050
Herausgeber: Institute of Electrical and Electronics Engineers
DOI: 10.1109/TITS.2017.2683539

Other (1)

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

Autoren: BigData4ATM Consortium
Veröffentlicht in: Ausgabe May 2016, 2016
Herausgeber: Nommon Solutions and Technologies S.L.