Mobile phone operators produce enormous amounts of data. In this paper we present
applications performed with a dataset (probe data) collected by the operator Orange in 2017 …

Mobile phone operators produce enormous amounts of data. In this paper we present
applications performed with a dataset (communication events+ handover and Location Area …

In transportation planning, estimating the movement of people between a set of origins and
destinations is a challenging task. This has been inferred in two way: from data on …

This paper explores the use of passively collected data on the location of mobile phones in
the development of external travel models, which capture trips to, from, and through an area …

This paper is an output of a French national project called iSpace&Time aiming to provide a
4 dimensional platform of an urban dynamics. In order to express the urban traffic, we took …

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 …

Spatiotemporal data, and more specifically origin–destination matrices, are critical inputs to
mobility studies for transportation planning and urban management purposes. Traditionally …

In this work we present an analysis process that exploits mobile phone transaction
(trajectory) data to infer a transport demand model for the territory under monitoring. In …

Passively generated mobile phone dataset is emerging as a new data source for research in
human mobility patterns. Information on individuals' trajectories is not directly available from …

Abstract The Big Data, originating from the digital breadcrumbs of human activities, sensed
as a by-product of the technologies that we use for our daily activities, let us to observe the …