Inferring dynamic origin-destination flows by transport mode using mobile phone data

D Bachir, G Khodabandelou, V Gauthier… - … Research Part C …, 2019 - Elsevier
Fast urbanization generates increasing amounts of travel flows, urging the need for efficient
transport planning policies. In parallel, mobile phone data have emerged as the largest …

PRIVA'MOV: Analysing human mobility through multi-sensor datasets

SB Mokhtar, A Boutet, L Bouzouina, P Bonnel… - NetMob …, 2017 - inria.hal.science
The wide adoption of mobile devices has created unprecedented opportunities to collect
mobility traces and make them available for the research community to conduct …

Understanding individual mobility patterns from urban sensing data: A mobile phone trace example

F Calabrese, M Diao, G Di Lorenzo, J Ferreira Jr… - … research part C …, 2013 - Elsevier
Large-scale urban sensing data such as mobile phone traces are emerging as an important
data source for urban modeling. This study represents a first step towards building a …

Generation and analysis of a large-scale urban vehicular mobility dataset

S Uppoor, O Trullols-Cruces, M Fiore… - IEEE Transactions …, 2013 - ieeexplore.ieee.org
The surge in vehicular network research has led, over the last few years, to the proposal of
countless network solutions specifically designed for vehicular environments. A vast majority …

Estimation of static and dynamic urban populations with mobile network metadata

G Khodabandelou, V Gauthier, M Fiore… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
Communication-enabled devices routinely carried by individuals have become pervasive,
opening unprecedented opportunities for collecting digital metadata about the mobility of …

[HTML][HTML] ODT FLOW: Extracting, analyzing, and sharing multi-source multi-scale human mobility

Z Li, X Huang, T Hu, H Ning, X Ye, B Huang, X Li - Plos one, 2021 - journals.plos.org
In response to the soaring needs of human mobility data, especially during disaster events
such as the COVID-19 pandemic, and the associated big data challenges, we develop a …

[PDF][PDF] Mobile phone location area based traffic flow estimation in urban road traffic

T Tettamanti, I Varga - Advances in Civil and Environmental …, 2014 - researchgate.net
Signaling data of cellular phones can be used as valuable information for state-of-the-art
traffic applications especially in urban areas. The traces of mobiles like handovers and …

Mobile data traffic modeling: Revealing temporal facets

EMR Oliveira, AC Viana, KP Naveen, C Sarraute - Computer Networks, 2017 - Elsevier
This paper presents a detailed measurement-driven model of mobile data traffic usage of
smartphone subscribers, using a large-scale dataset collected from a major 3G network in a …

Big trajectory data: A survey of applications and services

X Kong, M Li, K Ma, K Tian, M Wang, Z Ning… - IEEE access, 2018 - ieeexplore.ieee.org
The rapid development of wireless infrastructure and data acquisition technologies
contributes to the explosive growth of data, especially trajectory data with rich information …

On the importance of real data for microscopic urban vehicular mobility trace

MA Lèbre, F Le Mouël, E Ménard - 2015 14th International …, 2015 - ieeexplore.ieee.org
Vehicular networks reflect user mobility behavior and present complex microscopic and
macroscopic mobility patterns. Microscopic mobility is often simplified in macroscopic …