New £1m UKRI grant to support development of autonomous transport

Professor Ed Manley has been awarded a UKRI grant worth over £900,000 on the UK-Canada AI initiative to develop new models of autonomous transport for enhancing mobility in ageing populations.

The RAIM (Responsible Automation for Inclusive Mobility) project is one of ten UK-Canada projects which will support the responsible development of artificial intelligence (AI). The project aims to build a better understanding of the opportunities and challenges facing autonomous transport, and build these into novel AI-based methods for estimating future demand and optimising new services.

The project is funded under the Canada-UK AI Initiative, with a consortium of University of Leeds, UCL, and University of Manitoba, as well as local transport agencies and passenger advocacy groups.

Ed manley, LIDA

Professor Ed Manley, Professor of Urban Analytics

The project is led by Professor Ed Manley, Professor of Urban Analytics at the School of Geography and an affiliate of Leeds Institute for Data Analytics, as well as Dr Babak Mehran, University of Manitoba and additional involvement at Leeds from Professor Susan Grant Muller, Institute for Transport Studies.

There is real potential for demand-responsive autonomous transport to have significant benefits for an ageing population, that go beyond accessibility alone.

Professor Ed Manley, School of Geography

Professor Manley said “There is real potential for demand-responsive autonomous transport to have significant benefits for an ageing population, that go beyond accessibility alone. During this project we’ll aim to not only improve our understanding of ageing mobility needs, but use novel AI-based methods to develop an AV system that fully meets those needs.

“It’ll be great to expand our research to the Canadian setting, which faces similar challenges to the UK, and develop new collaborations with the University of Manitoba.”

RAIM project will run from early 2020 to 2023.

Related articles

UK-Canadian projects to support the development of responsible artificial intelligence