Working Papers

BigData4ATM White Paper: Big Data Analytics for Socioeconomic and Behavioural Research in ATM, May 2016 - Download

Public Deliverables

 

​D1.3 Final Project Results Report - Download

​D2.1 Inventory and Quality Assessment of Data Sources for ATM Socioeconomic and Behavioural Studies - Download

 

​D3.1 Analysis of Passenger Behaviour from ICT-based Geolocation Data - Download

 

​​D4.1 Applications of Passenger-Centric Geolocation Data to the Planning and Management of the ATM System: Case Studies - Download

​​​​Scientific Papers

 

​P. García, O.G. Cantú Ros, C. Ciruelos and R.Herranz (2017) "Understanding Door-to-Door Travel Times from Opportunistically Collected Mobile Phone Records: A Case Study of Spanish Airports", in D. Schaefer (Ed.) Proceedings of the SESAR Innovation Days 2017, EUROCONTROL - Download

 

R. Gallotti, M. Fuster and J.J. Ramasco (2017) "New Data Sources to Study Airport Competition", in D. Schaefer (Ed.) Proceedings of the SESAR Innovation Days 2017, EUROCONTROL - Download

P. García, J.J. Ramasco, G. Andrienko, N. Adler, C. Ciruelos and R. Herranz (2016) "Big Data Analytics for a Passenger-Centric ATM System: A Case Study of Door-to-Door Intermodal Passenger Journey Inferred from Mobile Phone Data", in D. Schaefer (Ed.) Proceedings of the SESAR Innovation Days 2016, EUROCONTROL - Download

​​Presentations

 

R.Herranz (2018) "Emerging data sources for the analysis of travel behaviour: applications to air transport", presentation at the Data-Driven ATM: Going Digital! workshop, WAC 2018, Madrid, Spain, March 2018 - Download

 

P. García (2017) "Understanding Door-to-Door Travel Times from Opportunistically Collected Mobile Phone Records: A Case Study of Spanish Airports", presentation at the SESAR Innovation Days 2017, Belgrade, Serbia, November 2017 - Download

​P. García and R. Gallotti (2017) "Data Science in ATM: Results from BigData4ATM project", poster presented at the SESAR Innovation Days 2017, Belgrade, Serbia, November 2017 - Download

​P. García (2016) "Big Data Analytics for a Passenger-Centric ATM System: A Case Study of Door-to-Door Intermodal Passenger Journey Inferred from Mobile Phone Data", presentation at the SESAR Innovation Days 2016, Delft, The Netherlands, November 2016 - Download

P. García (2016) "The BigData4ATM Project", poster presented at the SESAR Innovation Days 2016, Delft, The Netherlands, November 2016 - Download

 

This project has received funding from the SESAR JU under grant agreement No 699260 under European Union’s Horizon 2020 research and innovation programme

© 2016 BigData4ATM Consortium. All rights reserved