Browse by author
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.
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
URL: http://strasbourg2017.itsineurope.com/
