Ensuring cybersecure deployments of driverless teleoperated vehicles

  • Sabaliauskaite, Giedre (Principal Investigator)
  • Shaikh, Siraj (Principal Investigator)
  • Bryans, Jeremy (Principal Investigator)

Project: Research

Project Details


ENCODE will further the integration of enabling Connected and Automated Vehicle (CAV) technology, namely teleoperation - remotely operating a vehicle, and assessing its safe and secure integration with an automated driving system.
ENCODE believes that "multi-driver" vehicles (manually driven, automated software-driven or teleoperated) will accelerate CAV technology to commercially viable deployment, enabling the removal of the safety driver within certain ODDs. This supports the DfT's mission to benefit the UK supply chain, and support government assurance processes in this area.
This six-month project, concluding in March 2022, will research and assess the security and safety considerations for implementing a remote driving system into a multi-driver vehicle removing barriers to CAV deployment.

Layman's description

ENCODE is a collaborative industrial research project, led by Connected and Automated Vehicle (CAV) developer StreetDrone, that aims to reduce time to market for connected and automated vehicle technology in the movement of goods. The project centres on the use of "multi-driver" vehicles, and accompanying security and safety assurance, to enable StreetDrone and the UK to be first to market in the automation of the freight supply chain. A "multi-driver" vehicle is one which can be driven via in-vehicle operator, remote operator, or autonomous driving system.
Short titleENCODE
Effective start/end date1/10/2131/03/22

Collaborative partners

  • Coventry University (lead)
  • StreetDrone
  • Transport Research Laboratory
  • Oxfordshire County Council
  • Angoka


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