A data-driven approach for origin–destination matrix construction from cellular network signalling data: a case study of Lyon region (France)

Autor: Tom Bellemans, Patrick Bonnel, Angelo Furno, Stéphane Galland, Mariem Fekih, Zbigniew Smoreda

Publikováno v: Transportation
Transportation, Springer Verlag, 2020, 32p. ⟨10.1007/s11116-020-10108-w⟩

Spatiotemporal data, and more specifically origin-destination matrices, are critical inputs to mobility studies for transportation planning and urban management purposes. Traditionally, high-cost and hard-to-update household travel surveys are used t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::55038a9ce8012eb499bfba2414f1dd7b
https://doi.org/10.1007/s11116-020-10108-w

GLOVE: towards privacy-preserving publishing of record-level-truthful mobile phone trajectories

Autor: Marco Fiore, Razvan Stanica, Angelo Furno, Marco Gramaglia

Publikováno v: ACM/IMS Transactions on Data Science
ACM/IMS Transactions on Data Science, ACM, 2021, 2 (3), pp.1-36
IMDEA Networks Institute Digital Repository
IMDEA Networks Institute
instname
ACM/IMS Transactions on Data Science, 2021, 2 (3), pp.1-36. ⟨10.1145/3451178⟩
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid

Datasets of mobile phone trajectories collected by network operators offer an unprecedented opportunity to discover new knowledge from the activity of large populations of millions. However, publishing such trajectories also raises significant privac

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::57b36d4b8d3f00ae71049d7529014283
https://hal.archives-ouvertes.fr/hal-03264757

Calibration of Multi-region MFD Models using Mobile Phone Data

Autor: PAIPURI, Mahendra, XU, Yanyan, GONZALEZ, Marta C, Leclercq, Ludovic

Publikováno v: hEART 2020, 9th Symposium of the European Association for Research in Transportation-Virtual conference
hEART 2020, 9th Symposium of the European Association for Research in Transportation-Virtual conference, Feb 2021, Lyon, France. 12p

hEART 2020, 9th Symposium of the European Association for Research in Transportation - Virtual conference, Lyon, France, 03-/02/2021 - 04/02/2021; The present work proposes a framework to calibrate MFD models using mobile phone data. The three major

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::25dfa300e34744af1163ea59eccaa8e5
https://hal.archives-ouvertes.fr/hal-03154878/file/doc00032570.pdf

Estimation of urban zonal speed dynamics from user-activity-dependent positioning data and regional paths

Autor: Angelo Furno, Ludovic Leclercq, Manon Seppecher, Delphine Lejri, Thamara Vieira da Rocha

Publikováno v: Transportation research. Part C, Emerging technologies
Transportation research. Part C, Emerging technologies, Elsevier, 2021, 129, pp1-28. ⟨10.1016/j.trc.2021.103183⟩

Over the past few decades, the digitalization of services and infrastructures has led to the emergence of a broad set of new information sources to characterize human mobility. These sources usually offer valuable significant population penetration r

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3a92fd1f528aad8280009ccf0dbebfec
https://hal.archives-ouvertes.fr/hal-03461907

Calibrating MFD Models from Mobile Phone Data

Autor: PAIPURI, Mahendra, XU, Yanyan, GONZALEZ, Marta C, Leclercq, Ludovic

Publikováno v: TRB 2020, 99th Annual Meeting Transportation Research Board
TRB 2020, 99th Annual Meeting Transportation Research Board, Jan 2020, Washington, United States. 2p

TRB 2020, 99th Annual Meeting Transportation Research Board, Washington, ETATS-UNIS, 12-/01/2020 - 16/01/2020; This work focuses on the estimation ofMacroscopic Fundamental Diagram (MFD) and trip lengths for the city scale network using mobile phone

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::24a8e2f189e366e944966b7f04225ef2
https://hal.archives-ouvertes.fr/hal-02493342