The presentation took place in the Puffin room from 12.30 to 13.30 on the 28th March 2017. Here, Federico first introduced the work carried out in TRL as part of his secondment for the past two months, when he has dealt with fuel consumption models developed in previous International projects (MIRAVEC, MIRIAM, NCHRP, etc.). Then, he showed latest developments in his TRUSS project, which involve the use of machine learning to assess and estimate the impact of road surface conditions on the vehicle fuel economy. He highlighted how these results can bring significant benefits to road asset management and to the decision making process of maintenance of road infrastructures. The presentation was attended by an audience of about 25 people, including Federico’s Supervisors in TRL, Dr Helen Viner and Dr Emma Benbow, and senior researchers interested in the project.