Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Loïc Bonnetain"'
Publikováno v:
Social Network Analysis and Mining
Social Network Analysis and Mining, 2021, 11, pp1-18. ⟨10.1007/s13278-021-00814-3⟩
Social Network Analysis and Mining, 2021, 11, pp1-18. ⟨10.1007/s13278-021-00814-3⟩
In the last decade, humanity has faced many different pandemics such as SARS, H1N1, and presently novel coronavirus (COVID-19). On one side, scientists have developed vaccinations, and on the other side, there is a need to propose models that can hel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f57cca8418c9169c91b208f93d3fe553
http://europepmc.org/articles/PMC8532458
http://europepmc.org/articles/PMC8532458
Autor:
Nour-Eddin El Faouzi, Marco Fiore, Loïc Bonnetain, Angelo Furno, Cezary Ziemlicki, Razvan Stanica, Zbigniew Smoreda
Publikováno v:
Transportation research. Part C, Emerging technologies
Transportation research. Part C, Emerging technologies, 2021, 130, pp.1-34. ⟨10.1016/j.trc.2021.103257⟩
Transportation research. Part C, Emerging technologies, Elsevier, 2021, 130, pp.1-34. ⟨10.1016/j.trc.2021.103257⟩
Transportation research. Part C, Emerging technologies, 2021, 130, pp.1-34. ⟨10.1016/j.trc.2021.103257⟩
Transportation research. Part C, Emerging technologies, Elsevier, 2021, 130, pp.1-34. ⟨10.1016/j.trc.2021.103257⟩
Call detail records (CDR) collected by mobile phone network providers have been largely used to model and analyze human-centric mobility. Despite their potential, they are limited in terms of both spatial and temporal accuracy thus being unable to ca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cb75fc576bbdebfe78800b0a03f7dad3
https://inria.hal.science/hal-03299297/file/part_c_paper.pdf
https://inria.hal.science/hal-03299297/file/part_c_paper.pdf
Publikováno v:
Transportation Research Record
Transportation Research Record, 2019, 2673 (7), pp74-88. ⟨10.1177/0361198119847472⟩
Transportation Research Record, 2019, 2673 (7), pp74-88. ⟨10.1177/0361198119847472⟩
Mobile phone data collected by network operators can provide fundamental insights into individual and aggregate mobility of people, at unprecedented spatiotemporal scales. However, traditional call detail records (CDR) have fundamental issues because
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0d83f8a96e4631cb21d4f11565745f64
https://doi.org/10.1177/0361198119847472
https://doi.org/10.1177/0361198119847472
Autor:
Patrick Bonnel, Tom Bellemans, Angelo Furno, Stéphane Galland, Loïc Bonnetain, Mariem Fekih, Zbigniew Smoreda
Publikováno v:
Transportation Letters
Transportation Letters, 2021, pp1-19. ⟨10.1080/19427867.2021.1945854⟩
Transportation Letters, 2021, pp1-19. ⟨10.1080/19427867.2021.1945854⟩
This paper proposes a framework to extract dynamic trip flows and travel demand patterns from large-scale 2 G and 3 G cellular signaling data. Novel data pre-processing techniques based on cell phone activity metrics are presented. The trip extractio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d869ed5836ab54d74a81601b7fd36759
https://hal.archives-ouvertes.fr/hal-03495836
https://hal.archives-ouvertes.fr/hal-03495836
Autor:
Nour-Eddin El Faouzi, Benoit Matet, Latifa Oukhellou, Angelo Furno, Loïc Bonnetain, Etienne Come
Publikováno v:
ESANN 2021 proceedings.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b1b7d902743a1af3a2fe2e3fb8119b27
https://doi.org/10.14428/esann/2021.es2021-56
https://doi.org/10.14428/esann/2021.es2021-56
Publikováno v:
Transportation Research Record, 2672(8)
Obtaining load profiles of transit vehicles has remained as a difficult task for transit operators because of technical and financial constraints. Although a significant advance in transit demand and supply data collection has been achieved over the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e55caf07c6a7605dea963d4d77358043
https://doi.org/10.1177/0361198118781166
https://doi.org/10.1177/0361198118781166
Publikováno v:
MT-ITS
MT-ITS 2019, 6th International Conference on Models and Technologies for Intelligent Transportation Systems
MT-ITS 2019, 6th International Conference on Models and Technologies for Intelligent Transportation Systems, Jun 2019, Cracovie, Poland. 10p, ⟨10.1109/MTITS.2019.8883379⟩
MT-ITS 2019, 6th International Conference on Models and Technologies for Intelligent Transportation Systems
MT-ITS 2019, 6th International Conference on Models and Technologies for Intelligent Transportation Systems, Jun 2019, Cracovie, Poland. 10p, ⟨10.1109/MTITS.2019.8883379⟩
MT-ITS 2019, 6th International Conference on Models and Technologies for Intelligent Transportation Systems, Cracovie, POLOGNE, 05-/06/2019 - 07/06/2019; Graph-based analysis has proven to be a good approach to study topological vulnerabilities of ro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::58c3f73a4f1ab9e4abc2c55e87f5caa2
https://doi.org/10.1109/mtits.2019.8883379
https://doi.org/10.1109/mtits.2019.8883379