The last decade has witnessed very active development in two broad, but separate fields,
both involving understanding and modeling of how individuals move in time and space …

This article surveys the literature on analyses of mobile traffic collected by operators within
their network infrastructure. This is a recently emerged research field, and, apart from a few …

In this research, we propose a methodology to develop OD matrices using mobile phone
Call Detail Records (CDR) and limited traffic counts. CDR, which consist of time stamped …

The rapid development in telecommunication networks is producing a huge amount of
information regarding how people (with their mobile devices) move and behave over space …

ABSTRACT New Big Data sources such as mobile phone call data records, smart card data
and geo-coded social media records allow to observe and understand mobility behaviour on …

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 …

Up-to-date information on different modes of travel to monitor transport traffic and evaluate
rapid urban transport planning interventions is often lacking. Transport systems typically rely …

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

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

The recent years have witnessed a greater demand for understanding how people move in
urban environments. Due to the widespread usage of mobile phones, there have been …