With the advent of the newest emergency call mandates in US and Europe, with the
advances in cellular-based and WiFi-based localization solutions, and with the …

In this paper we address the use of mobile phone location data to build urban sensing
applications. In the past decade, several research works have proposed the use of different …

Understanding and modeling the way humans move in urban contexts is beneficial for many
applications. The recent advances on positioning technologies, namely those based on the …

Understanding and modeling people's mobility is a crucial component of transportation
planning and management. Research in this area was originally concentrated on modeling …

Human mobility patterns give insights into how people travel in their day-to-day lives. With
availability of cellular data, either at large-scale but with low location accuracy or at small …

The opportunities to understand human-mobility have increased significantly of late with the
rapid adoption of wireless devices that report locations frequently. In this work 1, we utilize …

A better understanding of the movement of a city aids to the efficient adaptation of the energy
consumption to the necessities of citizens. For this purpose, the use of clustering algorithms …

Extraction of mobility patterns of people in a city helps in urban planning, traffic control,
transportation management, etc. We present a demo that shows how to extract interesting …

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

The huge quantity of individual location data recorded by mobile phones or mobile networks
inspires research questions regarding new and intelligible services on behalf of mobile …