Skip to main content

TSB funding for intelligent transport solution project

University Campus Milton Keynes is working with Clearview Traffic Group on a 13-month research that could lead to the development of innovative traffic management systems. UCMK, part of the University of Bedfordshire, will receive $195,000 of funding from the UK’s innovation agency, the Technology Strategy Board, to carry out the research. The project will see UCMK and the University’s Department of Computer Science and Technology partner with Clearview Traffic Group to explore the feasibility of extendi
May 27, 2014 Read time: 3 mins
University Campus Milton Keynes is working with 557 Clearview Traffic Group on a 13-month research that could lead to the development of innovative traffic management systems.

UCMK, part of the University of Bedfordshire, will receive $195,000 of funding from the UK’s innovation agency, the 2231 Technology Strategy Board, to carry out the research. The project will see UCMK and the University’s Department of Computer Science and Technology partner with Clearview Traffic Group to explore the feasibility of extending vehicle counting data obtained from solar-powered sensors built into roads to include information such as the classification of each vehicle and its speed.

In order to measure accurately the speed of passing vehicles, detectors must be placed some distance apart. While wireless communication negates the need for costly and problematic cables linking the sensors, it is currently impractical to send all data collected from each sensor due to size, power and capacity limitations.  

Clearview’s project will aim to develop a set of novel algorithms for solar-powered in-road sensors capable of gathering and compressing vital vehicle data, enabling it to be sent wirelessly to derive speed and vehicle classification, creating actionable information and informing intelligent traffic management decision-making.

The data will inform intelligent decision-making by transport managers and road network operators in order to minimise congestion and emissions, reduce accidents and lower the costs of installation and maintenance traditionally linked to in-road traffic data collection systems.

Ben Allen, Professor of Computer Science at University Campus Milton Keynes, will lead the University’s contribution to the project.

He said: “We are very excited to be working with Clearview on this collaborative venture, which will also help to put UCMK on the map as the city centre hub for innovation. The University of Bedfordshire’s expertise in algorithms and distributed signal processing will be crucial to the development of this new technology.”

Dr Chris Barnes, Clearview head of Engineering, said: “This project will stimulate innovation at the intersection between connected computing and the use of sensors, providing traffic and transport data that can help decision-making around traffic management.

“The global market for intelligent transport solutions is substantial and rising year on year.  In partnership with the University of Bedfordshire, and with financial support   from the Technology Strategy Board, we aim to bring innovative technology to market as soon as possible.”

For more information on companies in this article

Related Content

  • Why keeping count is so important for traffic management
    November 21, 2023
    Traffic engineers need to have multiple solutions in their toolbox to complete the most accurate and safe data collection programmes possible, explains Wes Guckert of The Traffic Group
  • UK university to develop asset management tool for light railways and tramways
    December 22, 2015
    Experts at the University of Huddersfield have won more than US$208,000 funding to develop a software-based asset management tool that will enable light railway operators to calculate the most appropriate rail wear limits for their system. This would mean longer intervals between maintenance and replacement, reducing disruption to passengers and costs to the operators, while maintaining safety levels.
  • Masdar Institute and Abu Dhabi Department of Transport sign MoU
    December 24, 2012
    Abu Dhabi's Department of Transport (DoT) and Masdar Institute of Science and Technology, an independent, research-driven graduate-level university focused on advanced energy and sustainable technologies, has signed a memorandum of understanding (MoU) to establish a collaborative partnership on exchange of information in transportation. The MoU will enable the sharing of information on Abu Dhabi's public transport systems and basic traffic data to be used by Masdar Institute for a research project. The proj
  • Getting more for less from traffic data
    August 15, 2012
    Collection of traffic and transit data has grown significantly, combining with advances in connectivity and computational modelling to good effect. Desire to do more with less – to make budgets go further – has helped create a boom in the collection and study of traffic and transport data. Studies are becoming longer, greater in number and further in-depth as more intelligence is sought, plus, transportation agencies are looking to make processes of data collection less costly, or more efficient.