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.”

Related Content

  • December 9, 2014
    UK Autodrive consortium to develop driverless cars
    An Arup-led consortium, UK Autodrive, has won the UK Government’s US$15.6 million ‘Introducing Driverless Cars’ competition. Other members of the consortium are Milton Keynes Council, Coventry Council, Jaguar Land Rover, Ford Motor Company, Tata Motors European Technical Centre, RDM Group, MIRA, Oxbotica, AXA, international law firm Wragge Lawrence Graham & Co, the Transport Systems Catapult, the University of Oxford, University of Cambridge, and the Open University. The aim of the project is to establis
  • October 23, 2015
    TRL to contribute to new autonomous vehicle research programme
    The UK’s Transport Research Laboratory (TRL) the, has announced it is part of a new US$17 million five-year research programme to develop fully autonomous cars. The programme, jointly funded by Jaguar Land Rover and the Engineering and Physical Sciences Research Council (EPSRC), will look at some key technologies and questions that need to be addressed before driverless cars can be allowed on the roads without jeopardising the safety of other road users, including cyclists and pedestrians. TRL is the on
  • January 26, 2012
    New technology revolution in urban traffic control?
    Urban traffic control is a well-defined and practised art. Nevertheless, there are technologies here and on the horizon with the potential to revolutionise how we do things. By Gavin Jackman and Andrew Kirkham, TRL, and Jason Barnes. Distributed monitoring and control of urban traffic networks and flows is nothing new. PC-based Urban Traffic Control (UTC) is now well established and operating in many locations around the world. However, it is worth considering the effects of the huge growth in the use of sm
  • September 1, 2017
    Indra project aims to develop automated vehicle occupancy identification
    Technology company Indra is leading the European R&D&i project BeCamGreen, which aims to develop a solution based on computer vision and big data, to contribute to reducing traffic, that enables the automated identification of vehicle types and their number of occupants, in real time and with precision.