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

Informazioni relative al progetto

BigData4ATM

ID dell’accordo di sovvenzione: 699260

DOI 10.3030/699260

Progetto chiuso

Data della firma CE 3 Maggio 2016

Data di avvio 9 Maggio 2016

Data di completamento 8 Maggio 2018

Finanziato da

• SOCIETAL CHALLENGES - Smart, Green And Integrated Transport

Costo totale € 599 732,50

Contributo UE € 599 732,50

Coordinato da

NOMMON SOLUTIONS AND TECHNOLOGIES SL
Spain

Risultati finali

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.

Pubblicazioni

Conference proceedings (5)

New Data Sources to Study Airport Competition

Autori: Riccardo Gallotti, Marc Fuster and José Javier Ramasco
Pubblicato in: Proceedings of the 7th SESAR Innovation Days, Numero November 2017, 2017
Editore: EUROCONTROL

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

Autori: Pedro García-Albertos, Oliva García Cantú Ros, Ricardo Herranz, Carla Ciruelos
Pubblicato in: Proceedings of the 7th SESAR Innovation Days, Numero November 2017, 2017
Editore: EUROCONTROL

Analyzing Door to Door Travel Times Through Mobile Phone Data

Autori: Pedro García-Albertos, Oliva García Cantú Ros and Ricardo Herranz
Pubblicato in: Proceedings of the 8th International Conference on Research in Air Transportation, Numero June 2018, 2018
Editore: 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

Autori: Pedro García, José Javier Ramasco, Gennady Andrienko, Nicole Adler, Carla Ciruelos and Ricardo Herranz
Pubblicato in: Proceedings of the Sixth SESAR Innovation Days, Numero November 2016, 2016
Editore: EUROCONTROL

Biases and errors in the temporal sampling of random movements

Autori: Riccardo Gallotti, Rémi Louf, Jean-Marc Luck, Marc Barthelemy
Pubblicato in: Proceedings of NetMob 2017, Numero April 2017, 2017, Pagina/e 90-91
Editore: Vodafone - MIT - UC3M - UCL

Peer reviewed articles (2)

Tracking random walks

Autori: Riccardo Gallotti, Rémi Louf, Jean-Marc Luck, Marc Barthelemy
Pubblicato in: Journal of The Royal Society Interface, Numero 15/139, 2018, Pagina/e 20170776, ISSN 1742-5689
Editore: The Royal Society
DOI: 10.1098/rsif.2017.0776

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

Autori: Gennady Andrienko, Natalia Andrienko, Wei Chen, Ross Maciejewski and Ye Zhao
Pubblicato in: IEEE Transactions on Intelligent Transportation Systems, Numero Volume PP Numero 99, 2017, Pagina/e 1-18, ISSN 1524-9050
Editore: 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

Autori: BigData4ATM Consortium
Pubblicato in: Numero May 2016, 2016
Editore: Nommon Solutions and Technologies S.L.