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Research project

Green adaptive control for future interconnected vehicles (G-ACTIVE)

Project overview

The project targeted a significant reduction in fuel consumption, CO2 and NOx emissions in passenger and light duty road vehicles. This was achieved by implementing new Energy Management control systems that are inclusive, predictive and adaptive. This has been investigated through the application and development of car following models and human factor methods.

More project details are available from the UKRI website.

Staff

Other researchers

Emeritus Professor Neville Stanton

Research interests

  • Ergonomics and Human Factors methods
  • Distributed cognition and distributed situation awareness
  • The effects of automation on human tasks, mainly focused on the development of vehicle automation in road transport
Connect with Neville

Email: [email protected]

Collaborating research institutes, centres and groups

Research outputs

Integrated management of powertrain and engine cooling system for parallel hybrid electric vehicles
2019
DOI: 10.1109/VPPC.2018.8604994
Type: conference
From the simulator to the road—realization of an in-vehicle interface to support fuel-efficient eco-driving
Craig Allison, James Fleming, Xingda Yan, Neville Stanton & Roberto Lot, 2019
DOI: 10.1007/978-3-030-11051-2_124
Type: conference
Using cognitive work analysis to inform policy recommendations to support fuel-efficient driving
Craig K. Allison & Neville A. Stanton, 2019
DOI: 10.1007/978-3-319-93885-1_34
Type: conference
Driver modeling and implementation of a fuel-saving ADAS
James Fleming, Xingda Yan, Craig Allison, Neville Stanton & Roberto Lot, 2018
DOI: 10.1109/SMC.2018.00216
Type: conference
A/C energy management and vehicle cabin thermal comfort control
2018, IEEE Transactions on Vehicular Technology
DOI: 10.1109/TVT.2018.2869030
Type: article