Allaboard: Visual exploration of cellphone mobility data to optimise public transport

G Di Lorenzo, ML Sbodio, F Calabrese… - Proceedings of the 19th …, 2014 - dl.acm.org
The deep penetration of mobile phones offers cities the ability to opportunistically monitor
citizensfi mobility and use data-driven insights to better plan and manage services. In this …

AllAboard: a system for exploring urban mobility and optimizing public transport using cellphone data

M Berlingerio, F Calabrese, G Di Lorenzo… - Machine Learning and …, 2013 - Springer
Introduction The deep penetration of mobile phones offers cities the ability to
opportunistically monitor citizens' interactions and use data-driven insights to better plan and …

Singapore in motion: Insights on public transport service level through farecard and mobile data analytics

H Poonawala, V Kolar, S Blandin, L Wynter… - Proceedings of the 22nd …, 2016 - dl.acm.org
Given the changing dynamics of mobility patterns and rapid growth of cities, transport
agencies seek to respond more rapidly to needs of the public with the goal of offering an …

Trip analyzer through smartphone apps

M Li, J Dai, S Sahu, M Naphade - Proceedings of the 19th ACM …, 2011 - dl.acm.org
Broad usage of Smartphones and mobile apps enables both individual trip summary and
regional travel demand analysis. In this paper, we describe a trip analysis system, as part of …

Smartphone sensing meets transport data: A collaborative framework for transportation service analytics

Y Lu, A Misra, H Wu - IEEE Transactions on Mobile …, 2017 - ieeexplore.ieee.org
We advocate for and introduce TRANSense, a framework for urban transportation service
analytics that combines participatory smartphone sensing data with city-scale transportation …

Data-driven transit network design from mobile phone trajectories

F Pinelli, R Nair, F Calabrese… - IEEE Transactions …, 2016 - ieeexplore.ieee.org
This paper presents a data-driven method for transit network design that relies on a large
sample of user location data available from mobile phone telecommunication networks …

Urban sensing using mobile phone network data: a survey of research

F Calabrese, L Ferrari, VD Blondel - Acm computing surveys (csur), 2014 - dl.acm.org
The recent development of telecommunication networks is producing an unprecedented
wealth of information and, as a consequence, an increasing interest in analyzing such data …

SMARTBUS: A web application for smart urban mobility and transportation

S Ram, Y Wang, F Currim, F Dong, E Dantas… - Proceedings of the 25th …, 2016 - dl.acm.org
Systematic evaluation is crucial to the management and development of smart urban
transportation, as it allows transportation planners to better understand the impact of their …

Traffic analysis in a smart city

C Bachechi, L Po - IEEE/WIC/ACM International Conference on Web …, 2019 - dl.acm.org
Urbanization is accelerating at a high pace. This places new and critical issues on the
transition towards smarter, efficient, livable as well as economically, socially and …

Cell phone big data to compute mobility scenarios for future smart cities

D Tosi - International Journal of Data Science and Analytics, 2017 - Springer
Efficient mobility is a key aspect for the future smart cities. The real added value for smart
cities is the real-time optimization of vehicular and public transportation flows to reduce …