Results 51 - 68 of 68.

Transport - Innovation - 13.06.2019
Cardiff camera sees through sides of trucks
A heat-sensing camera developed by astrophysicists at Cardiff University is being used to spot people and animals in the back of moving trucks and lorries. The technology, which is being brought to market by Sequestim Ltd, works by using extremely accurate sensors - originally designed to map distant stars - to detect minute changes in radiation and heat.

Innovation - Transport - 13.05.2019
Ground-breaking driverless car project showcases vision for a connected transport future
The multi-organisational team behind the 5.5 million FLOURISH connected and autonomous vehicle (CAV) project is today [Monday 13 May] celebrating the completion of three years of collaborative research and development with the launch of its latest findings.

Transport - 12.03.2019
Driverless car project researches advances in vehicle connectivity
The 5.5m FLOURISH driverless car project has successfully completed the latest phase of its investigations into the requirements of the cyber-physical infrastructure of the future.

Transport - Innovation - 04.02.2019
Birmingham experts develop gas turbine tech boost to electric vehicles’ range
Electric vehicles that travel a complete journey on each charge - making them more appealing to drivers - have moved a step closer, thanks to an innovative gas turbine engine being developed by experts in Britain and China. University of Birmingham scientists have received a 554,000 grant from Innovate UK to work with partners in China to develop the turbo range extender which charges vehicles on the run and resolves the range concerns associated with electric vehicles.

Transport - 24.01.2019

Transport - Innovation - 04.12.2018
11.15m grant secured to pilot driverless taxis in London
The University of Nottingham is part of a major new government-backed initiative to trial self-driving taxis around parts of London.

Economics - Transport - 10.10.2018
Location, location, location: researchers develop model to predict retail failure | University of Cambridge
Researchers have used a combination of location and transport data to predict the likelihood that a given retail business will succeed or fail. One of the most important questions for any new business is the amount of demand it will receive. Krittika D'Silva from ten different cities around the world, the researchers, led by the University of Cambridge, have developed a model that can predict with 80% accuracy whether a new business will fail within six months.

Innovation - Transport - 21.08.2018
Making roads safer in an age of self-driving vehicles and smart cities
A 1.7m project, funded by Innovate UK, has developed smart technologies to help driverless vehicles connect and communicate with each other and their surroundings to reduce collisions and traffic jams. The two-year i-Motors* project - partnered by innovative digital technology firm, Control F1 (now part of the Intercept IP Group) and the University of Nottingham - produced a mobile platform for data transfer and storage by vehicles from different manufacturers.

Transport - Administration - 20.08.2018
Gig economy drivers and riders at heightened risk of traffic collisions
The pressures that come with being a self-employed courier or taxi driver may significantly increase the risk of being involved in a collision, a new report by UCL finds. The majority of those surveyed - 63 per cent - are not provided with safety training on managing risks on the road. Sixty-five per cent said that they are not given any safety equipment such as a high visibility vest and over 70 per cent resort to providing their own.

Transport - 15.05.2018
Lighter, stronger aeroplanes thanks to new hybrid thermoplastic composites
Aviation is set to reach new heights thanks to a novel plastic which is tougher, weighs less and is cheaper to construct, developed by the University of Bath.

Economics - Transport - 23.04.2018