Archived

How can new approaches and technologies be applied to deter, detect and disrupt the misuse of drones?

Background

Build confidence in the transport network as the country
recovers from Covid-19 and improve transport users’
experience, ensuring that the network is safe, reliable, and
inclusive
Context
We must put the needs and expectations of current and potential users at the heart
of the operation of the transport system, especially given the significant impact
Covid-19 has had on both usage and perceptions of public transport. Ensuring that
our infrastructure and the services which use it meet the varied needs of businesses
and the public, are attractive, affordable, sustainable and resilient is a crucial goal for
the department.
Key areas of focus are:
• Building confidence and improving the public transport experience
• Improving the experience for road users
• Building a transport network that works for everyone
• Continually improving the safety, security and resilience of the transport system
The research and evidence needs listed below are integral parts to help deliver our
key areas of focus and address how we make progress against initiatives such as the
National Bus Strategy, William-Shapps Plan for Rail, and the Inclusive Transport
Strategy. This is more important than ever as the risks from COVID-19 reduce,
people build the confidence to return to public transport and new travel patterns
emerge. Social and behavioural science and research is core to the delivery of all our
programmes, including R&D. This is critical to ensure the development and delivery
of policy includes the needs of all groups, especially those often marginalised.

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:

Areas of research interest 2021

Related UKRI funded projects


  • Detecting Drones: low cost, plug and play, mass market

    Prisons, aviation, utilities, borders, government estates, public events and individuals are increasingly seeking cost effective drone detection technology to counter the reckless and hostile use of consumer drones. Our...

    Funded by: Innovate UK

    Why might this be relevant?

    The project focuses on detecting drones using radio frequency sensing technology, which directly addresses the question of how to deter, detect, and disrupt the misuse of drones.

  • Diversifying Drone Stories

    (1) RESEARCH CONTEXT: Following its establishment as a now-iconic warfighting tool, the drone increasingly features in domestic airspace. The domestic drone's meteoric rise is evident in the UK Government's ongoing inves...

    Funded by: ESRC

    Why might this be relevant?

    The project partially answers the question by examining the impact of domestic drones, but it does not provide new approaches and technologies to deter, detect, and disrupt the misuse of drones.

  • National drone detection network for Singapore

    Our proposal is to deploy a wide- area, ground-based, lower airspace monitoring system, which monitors all conspicuous drones across Singapore. Leveraging the latest machine-learning, cloud and edge technologies, this ne...

    Funded by: Innovate UK

    Why might this be relevant?

    The project proposes a national drone detection network for Singapore using machine-learning and edge technologies, aligning with the question's focus on new approaches and technologies to address drone misuse.

  • Flock: the world's first Big-Data driven risk analysis tool for drone flights

    The drone industry is growing rapidly; there are an increasing number of use cases for drones, from hobbyists flying in the park, to commercial operations such surveillance, data gathering and parcel delivery. Drones wil...

    Funded by: Innovate UK

  • Edged sensing array affording Intelligent integrated airspace awareness

    Drones are set to transform industries of all types by optimising processes and reducing the cost of e.g. logistics and surveillance to near £zero. However, methods capable of tracking and increasing drone visibili...

    Funded by: ISCF

  • University of Lincoln and Metis Aerospace Limited

    To develop the next generation of drone detection equipment by producing cutting-edge algorithms designed to decode and decrypt internal drone signals, thereby providing a robust evidence chain of drone activity to assis...

    Funded by: Innovate UK

  • System for High Integrity Monitoring of Advanced-Air-Mobility Network Operations (SHIMANO)

    This project consists of a consortium of organisations with expertise in engineering, aviation, and business to provide a clear path for development, testing and exploitation of Unmanned Aerial Vehicles (UAVs). The key a...

    Funded by: Innovate UK

  • Flock: BigData algorithm to minimise and regulate Drone population disturbance in Cities

    Drones will soon make our cities more efficient, but in order make them fly in urbanised areas we need to address the issues around this technology, such as privacy, noise pollution or accident and collision risks. The ...

    Funded by: Innovate UK

  • SHIMANO (System for High Integrity Monitoring of Advanced-Air-Mobility Network Operations)

    This project consists of a consortium of organisations with expertise in engineering, aviation, and business to provide a clear path for development, test and ultimately exploitation of Unmanned Aerial Vehicles (UAVs). T...

    Funded by: ISCF

  • Calculating the precise geolocation of commercial unmanned aerial vehicles

    Drones are set to transform industries of all types by optimising processes and reducing the cost of e.g. logistics and surveillance to near £zero. However, methods capable of tracking and increasing drone visibili...

    Funded by: ISCF