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 …

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 …

Mining mobility data to minimise travellers' spending on public transport

N Lathia, L Capra - Proceedings of the 17th ACM SIGKDD international …, 2011 - dl.acm.org
As the public transport infrastructure of large cities expands, transport operators are
diversifying the range and prices of tickets that can be purchased for travel. However …

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 …

Detecting weak public transport connections from cellphone and public transport data

T Holleczek, L Yu, JK Lee, O Senn, C Ratti… - Proceedings of the 2014 …, 2014 - dl.acm.org
Many modern and growing cities are facing declines in public transport usage, with few
efficient methods to explain why. In this article, we show that urban mobility patterns and …

Inferring passenger travel demand to improve urban mobility in developing countries using cell phone data: a case study of Senegal

MG Demissie, S Phithakkitnukoon… - IEEE Transactions …, 2016 - ieeexplore.ieee.org
A rise in population, along with urbanization, has been causing an increase in demand for
urban transportation services in the sub-Saharan Africa countries. In these countries …

Urban mobility analytics: A deep spatial–temporal product neural network for traveler attributes inference

C Li, L Bai, W Liu, L Yao, ST Waller - Transportation Research Part C …, 2021 - Elsevier
This study examines the potential of using smart card data in public transit systems to infer
attributes of travelers, thereby facilitating a more user-centered public transport service …

Towards real-time road traffic analytics using telco big data

C Costa, G Chatzimilioudis… - Proceedings of the …, 2017 - dl.acm.org
A telecommunication company (telco) is traditionally only perceived as the entity that
provides telecommunication services, such as telephony and data communication access to …

Individuals among commuters: Building personalised transport information services from fare collection systems

N Lathia, C Smith, J Froehlich, L Capra - Pervasive and Mobile Computing, 2013 - Elsevier
This work investigates how data from public transport fare collection systems can be used to
analyse travellers' behaviour, and transform travel information systems that urban residents …

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 …