Oct 25

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 and 5pm. Registration is available on eventbrite at http://gactiveworkshop.eventbrite.co.uk. The workshop includes presentations by current members of the G-Active research …

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Aug 13

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 and 5pm. The workshop discusses novel, multidiciplinary approaches to fuel-saving and emissions reduction for future connected vehicles, including energy management …

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Jun 04

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 acceleration choice Provides a framework to trade-off driver preferences, fuel consumption and emissions reduction     Developed an intelligent air …

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Jun 04

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 of Southampton, Boldrewood Campus on 14th November 2018 between 11am and 5pm. The workshop considers novel, multidisciplinary approaches to fuel …

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Jan 31

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, and supported by the Transport Systems Catapult, the event aimed to take a critical view on intelligent mobility. The conference …

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Jan 19

[Call for Participants]: Workshop on Eco-Driving and Energy Management Optimisation

Date: 8 February 2018 Time: 10:30 – 16:30                                                                                                                              Venue:  Room 611, Department of Electrical and Electronic Engineering, Imperial College London, Exhibition Road, London SW7 2AZ Info. on: g-active.uk                                                                 Register on: https://goo.gl/AxdfEc Objectives: The workshop focuses on several key technologies related to future intelligent vehicles such as energy management, driver modelling, traffic modelling, and …

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Sep 12

Early Results from an Online Questionnaire Exploring Future Interfaces Design to Support Fuel-Efficient Driving

Eco-driving is a driving style that seeks to reduce overall fuel use and, as a consequence, subsequent greenhouse gas emissions (Barkenbus, 2010). Eco-driving has both a financial benefit to the driver, who has lower fuel expenditure and a positive environmental impact due to the reduced pollutants. Without feedback regarding eco-driving behaviours however, individuals quickly return …

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Jul 09

From optimization-based EM to rule-based EM

The role of the supervisory control system (SCS) of a HEV is to determine the power split between multiple sources in a hybrid powertrain. In the past years, many kinds of SCSs have been proposed, which can be generally classified into two kinds, namely, optimization-based and rule-based control strategies. The optimization-based strategies determine the power …

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Jul 07

Optimal EM with simultaneous speed optimization

Energy management (EM) strategies are used to decide intelligently on how to provide energy to the total vehicle load from the multiple energy sources involved in HEV powertrains. Traditional approaches can be mainly classified into two types: rule-based and optimization-based methods. However, all these methods have relied on predefined speed profiles, which is not very realistic and is unknown in …

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Jul 06

Human Factors – Exploring Eco-Driving to Reduce Fuel Use

Transport is the second highest source of greenhouse gases in the EU, and reducing this level of emissions is a key objective of the G-Active project. Whilst the quickest way to reduce transport related emissions is to not take car journeys, we can also significantly reduce emissions by altering driving style. By adopting eco-driving behaviours …

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