ADAM (Automobile Data Acquisition Module) is now on the road collecting data with different participates. This driving data collection device is designed by Xingda Yan and James Fleming. The main feature of this device is very low cost (less than £ 200) compared to similar product on the market. The configuration of ADAM is as …
November G-Active Workshop Agenda
The agenda has now been finalised for our workshop on “Novel Approaches to Energy Management and Eco-Driving”, which will be held at the Boldrewood Campus of the University of Southampton on 14th November 2018 between 11am …
External Speakers confirmed for G-Active workshop in November
External speakers have now been confirmed for our workshop, “G-Active: Novel Approaches to Energy Management and Eco-Driving”, which will be held at the Boldrewood Campus of the University of Southampton on 14th November 2018 between 11am …
G-Active Success Stories
A brief showcase of some of the recent achievements from members of the G-Active project: Built a low-cost device to collect naturalistic driving data Developed an adaptive driver model to represent real-world driver speed and …
Workshop: Novel Approaches to Energy Management and Eco-Driving
The date and location has now been decided for the second G-Active workshop! The title of the workshop is “G-Active: Novel Approaches to Energy Management and Eco-Driving”, and it will be held at the University …
G-ACTIVE at The Midlands Intelligent Mobility Conference
On Wednesday 24th January, 2018, the Nottingham Conference Centre hosted The Midlands Intelligent Mobility Conference, a one day workshop. Organised by the IMPART partnership, consisting of University partners, Loughborough, De Montfort, Coventry and Nottingham Trent, …
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Objectives
The project targets a significant reduction in fuel consumption and CO2 emissions in road transport by implementing new Energy Management control systems that are inclusive, predictive and adaptive. The ultimate goal is to reduce fuel consumption of passenger and light duty road vehicles by more than 5%.
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