Using machine learning to monitor driver ‘workload’ could help improve road safety

Researchers have developed an adaptable algorithm that could improve road safety by predicting when drivers are able to safely interact with in-vehicle systems

Cambridge University News • cambridge
Dec. 7, 2023 ~6 min

Machine learning algorithm predicts how to get the most out of electric vehicle batteries

Researchers have developed a machine learning algorithm that could help reduce charging times and prolong battery life in electric vehicles by predicting how

Cambridge University News • cambridge
Aug. 23, 2022 ~5 min


No ‘safest spot’ to minimise risk of COVID-19 transmission on trains

Researchers have demonstrated how airborne diseases such as COVID-19 spread along the length of a train carriage and found that there is no ‘safest spot’ for

Cambridge University News • cambridge
June 22, 2022 ~5 min

Improved approach to the ‘Travelling Salesperson Problem’ could improve logistics and transport sectors

A new approach to solving the Travelling Salesperson Problem – one of the most difficult questions in computer science – significantly outperforms current

Cambridge University News • cambridge
April 26, 2022 ~6 min

Cambridge-led team developing a simulator to help reach net zero flight

The University of Cambridge has announced the launch of the Aviation Impact Accelerator (AIA) – an international group of experts in aerospace, economics,

Cambridge University News • cambridge
Aug. 25, 2021 ~4 min

Electric cars better for climate in 95% of the world

Fears that electric cars could actually increase carbon emissions are unfounded in almost all parts of the world, new research shows.

Cambridge University News • cambridge
March 23, 2020 ~5 min

Driverless cars working together can speed up traffic by 35 percent

A fleet of driverless cars working together to keep traffic moving smoothly can improve overall traffic flow by at least 35 percent, researchers have shown.

Cambridge University News • cambridge
May 20, 2019 ~5 min

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