System and Analytics for Continuously Assessing Transport Systems from Sparse and Noisy Observations: Case Study in Dublin

This paper describes our implementation of an Intelligent Transportation System, built for the road administration authority at Dublin City Council. The system is able to ingest data from different sources, while providing updated speed and traffic flow measurements, travel time estimates and statistical aggregations of current traffic conditions in real-time to the user. The application is powered by IBM Infosphere Streams, which enables it to easily scale to hundreds of thousands of data points processed per second, while maintaining sub-second delay from data acquisition to delivery. In this work we provide an overview of the analytics and the application architecture used to deliver the required capabilities

By: L. Gasparini; E. Bouillet; F. Calabrese; O. Verscheure; Brendan O'Brien; Maggie O'Donnell

Published in: RC25258 in 2012


This Research Report is available. This report has been submitted for publication outside of IBM and will probably be copyrighted if accepted for publication. It has been issued as a Research Report for early dissemination of its contents. In view of the transfer of copyright to the outside publisher, its distribution outside of IBM prior to publication should be limited to peer communications and specific requests. After outside publication, requests should be filled only by reprints or legally obtained copies of the article (e.g., payment of royalties). I have read and understand this notice and am a member of the scientific community outside or inside of IBM seeking a single copy only.


Questions about this service can be mailed to .