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Deriving transport benefits from Big Data and the Internet of Things in Smart Cities

Lookup NU author(s): Professor Phil BlytheORCiD



This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).


With the rapid advancements in technologies that can be applied to deliver transport differently, we are on the cusp of something exciting, with the potential to revolutionise the way we travel and how we deliver transport services in the future. The DfT is currently examining the use of sensing, and other IoT sources, to collect and generate large amounts of transport related data, the analysis of this data, and its use to deliver more joined up and ‘smarter’ transport. Coupled with this: the move towards automated systems; changes in demographics, use and ownership; new innovations in business models and the drive to decarbonise the transport sector – all will shape future transport and raise their own challenges. At the heart of this transport revolution, Big Data and the science underpinning the analytics of the data are beginning to re-shape our thinking and the potential for service delivery for future transport. Fundamentally, we better need to understand the potential for big data in making transport services smarter in cities.

Publication metadata

Author(s): Coleman M, Ferguson A, Hanson G, Blythe PT

Editor(s): ERTICO

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: 12th Intelligent Transport Systems European Congress 2017

Year of Conference: 2017

Pages: 1-7

Print publication date: 19/06/2017

Online publication date: 22/06/2017

Acceptance date: 12/04/2017

Date deposited: 11/08/2017

Publisher: Intelligent Transport Systems Congress Association