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Reference Number EP/F005156/1
Title FREEFLOW
Status Completed
Energy Categories ENERGY EFFICIENCY(Transport) 10%;
NOT ENERGY RELATED 90%;
Research Types Basic and strategic applied research 80%;
Applied Research and Development 20%;
Science and Technology Fields PHYSICAL SCIENCES AND MATHEMATICS (Computer Science and Informatics) 70%;
ENGINEERING AND TECHNOLOGY (Civil Engineering) 30%;
UKERC Cross Cutting Characterisation Not Cross-cutting 100%
Principal Investigator Professor JW (John ) Polak
No email address given
Civil and Environmental Eng
Imperial College London
Award Type Standard
Funding Source EPSRC
Start Date 01 January 2008
End Date 30 June 2011
Duration 42 months
Total Grant Value £1,442,820
Industrial Sectors Transport Systems and Vehicles
Region London
Programme Information & Communication Technology, Materials, Mechanical and Medical Eng, Process Environment and Sustainability, User-Led Research
 
Investigators Principal Investigator Professor JW (John ) Polak , Civil and Environmental Eng, Imperial College London (99.998%)
  Other Investigator Professor J Austin , Computer Science, University of York (0.001%)
Professor S Singh , Computer Science, Loughborough University (0.001%)
  Recognised Researcher Professor M Smith , University of York (0.000%)
Web Site
Objectives
Abstract FREEFLOW aims to fundamentally change how we use transport data, by using it to generate transport intelligence. Currently we are collecting more (and better) data about our transport networks, such as journey times and the location of buses. We process data in different ways and then supply it to users / individual travellers and service suppliers as well as network operators and travel information providers. But our present techniques for handling data are not good enough to help us actively manage transport. Instead, we often just react to network problems. Both the public and those responsible for networks want new intelligence to help them make better decisions - instead of being told about a queue, drivers want to know how to avoid it and network managers want to know why it is there and how to reduce it.This is a challenge, even with the relatively small data volume today. But soon there will be many new sources of data and so there is a clear opportunity to actively fillamarket gap, before we are overwhelmed with data. This is a global problem, so has great potential for the UK to exploit. And this is not just a transport problem / the military already have sharp awareness of situations their data implies and make critical decisions from it. FREEFLOW therefore fuses transport policy requirements of better services with innovation from outside transport, to generate transport intelligence for urban areas. We want to deliver services that users will really want to use and so dramatically improve how they travel / no just make small changes. We will look for new sources of data, such as from CCTV, to help services evolve.We aim to research how to use "intelligent decision support" to deliver market ready products. These will deliver policy outcomes of improved safety, reduced congestion and safeguarding the environment, and measure the changes we make through demonstrations in York and London. We aim to make a noticeable change thatwill stimulate a global market and make life easier for travellers too. Hence our vision is to deliver:" Improving transport user decisions and performance, by turning data into intelligence"
Publications (none)
Final Report (none)
Added to Database 01/06/07