How can quantum sensors contribute to improved road traffic management and maintenance?

Background

The grow and level up the economy strategic priority is at the heart of the government’s agenda to spread opportunity across the UK. Transport has a crucial role to play, whether it be through improving connectivity across the United Kingdom and growing the economy by enhancing the transport network, on time and on budget. DfT has a number of specific interests in this space, notably our infrastructure projects, Places for Growth and our apprenticeships and skills work.

Next steps

Get in touch with bridgetoresearch@dft.gov.uk

Source

This question was published as part of the set of ARIs in this document:

DFT-Areas of research interest 2023 GOV UK

Related UKRI funded projects


  • MIniature Sensing and Timing with QUantum Enhancement - MISTIQUE

    MISTIQUE will accelerate the practical benefits of quantum sensors for society. It will derive its research program from the innovation needs of future transport systems and lay the physics and engineering foundations fo...

    Funded by: EPSRC

    Lead research organisation: University of Birmingham

    Why might this be relevant?

    The project is relevant as it focuses on the development of quantum sensors for transport systems, but it does not specifically address road traffic management and maintenance.

  • Quantum Sensing on the London Underground

    Many parts of our society are now heavily reliant on Global Navigation Satellite Systems (GNSS). Not only are they used to facilitate the supply chains that support our economy, they also enable the movement of goods and...

    Funded by: EPSRC

    Lead research organisation: Imperial College London

    Why might this be relevant?

    The project is relevant as it involves the development of quantum sensors for accurate positioning on rail networks, but it does not directly address road traffic management and maintenance.

  • Quantum enhanced control systems

    Many industries stand to benefit from the commercialisation of quantum computing, particularly those industries that need high levels of processing power, such as the autonomous vehicle market. Quantum computers can prov...

    Funded by: ISCF

    Lead research organisation: MASSIVE ANALYTIC LIMITED

    Why might this be relevant?

    The project aims to develop quantum computing solutions for autonomous vehicles, specifically driverless cars, which directly addresses the question of how quantum sensors can contribute to improved road traffic management and maintenance.

  • Railway Quantum Inertial Navigation System for Condition Based Monitoring (Phase 2)

    The aim of this project is to develop a Quantum-based navigation system for railways to address the issues arising from the loss of GNSS signal in tunnels. Our system will enhance positioning accuracy without relying on ...

    Funded by: Innovate UK

    Lead research organisation: MONIRAIL LTD

  • Novel algorithms for solar-powered in-road sensors to measure speed and classify vehicles to inform intelligent traffic management decisions

    The primary objective of our consortium, which is comprised of a UK based technology SME and an English University, is to investigate the capabilities of solar-powered, in-road, autonomous sensor systems to collect accur...

    Funded by: Innovate UK

    Lead research organisation: CLEARVIEW TRAFFIC GROUP LIMITED

  • Railway Quantum Inertial Navigation System for Condition Based Monitoring

    The aim of this project is to develop a Quantum-based navigation system for railways to address the issues arising from the loss of GNSS signal in tunnels. Our system will enhance positioning accuracy without relying on ...

    Funded by: Innovate UK

    Lead research organisation: MONIRAIL LTD

  • Quantum-Enhanced Sustainable Transportation (QuEST)

    Quantum-Enhanced Sustainable Transportation (QuEST) is a feasibility study that aims to explore how quantum technologies can enhance transport infrastructure utilisation, particularly in the areas of logistics and traffi...

    Funded by: Innovate UK

    Lead research organisation: CGA SIMULATION LIMITED