Mobile cellular networks can serve as ubiquitous sensors for physical mobility. We propose
a method to infer vehicle travel times on highways and to detect road congestion in real …

Road traffic can be monitored by means of static sensors and derived from floating car data,
ie, reports from a sub-set of vehicles. These approaches suffer from a number of technical …

In this contribution we address the problem of using cellular network signaling for inferring
real-time road traffic information. We survey and categorize the approaches that have been …

Due to the ubiquity of mobile phones, mobile phone network data (eg, Call Detail Records,
CDR; and cellular signaling data, CSD), which are collected by mobile telecommunication …

Traffic volume is a parameter used to quantify demand in transportation studies, and it is
commonly collected by using on-road (fixed) sensors such as inductive loops, cameras, etc …

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 …

Traffic density is one of the fundamental traffic variables used in modeling road traffic
dynamics. It measures how packed the vehicles are on the observed road space. Typically …

The signaling traffic of a cellular network is rich of information related to the movement of
devices across cell boundaries. Thus, passive monitoring of anonymized signaling traffic …

Road-network traffic monitoring on city-scale is critical for a wide range of applications, such
as traffic forecasting, congestion identification, traffic safety, and urban planning, etc. Despite …

Urban landscapes present a variety of socio-topological environments that are associated to
diverse human activities. As the latter affect the way individuals connect with each other, a …