Data Analysis Optimisation - Phase 2
A project to develop a method of capturing and processing data from trucks that can be used as an input to a prediction tool to calculate fuel efficiency for various design and/or investment decisions
• The ETI invested £100,000 in the eight month HDV Data Analysis Optimisation project
• Element Energy worked with sub-contractors Microlise and the ICCT
• The project analysed data on HDV operations to help inform technologies under development by the ETI to improve HDV fuel efficiency
The ETI appointed Element Energy to deliver its Heavy Duty Vehicle (HDV) Data Analysis Optimisation project.
The ETI invested £100,000 in the eight month project, which analysed data on heavy duty vehicle operations to help inform technologies currently under development by the ETI to improve HDV fuel efficiency.
Research by the ETI showed that the route, speed, freight load and vehicle configuration of HDVs can impact upon which fuel efficiency technologies are the most effective in helping to reducing carbon emissions.
This new project provided information on the real world use and performance of on-highway HDVs by analysing vehicle data to produce a characterisation of both individual vehicles and vehicle fleets.
