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All Outputs (3)

A machine learning approach for the estimation of fuel consumption related to road pavement rolling resistance for large fleets of trucks (2018)
Conference Proceeding
Perrotta, F., Parry, T., Neves, L. C., & Mesgarpour, M. (2018). A machine learning approach for the estimation of fuel consumption related to road pavement rolling resistance for large fleets of trucks.

There remains a level of uncertainty concerning the methodological assumptions and parameters to consider in the estimation of road vehicle fuel consumption due to the condition of road pavements. In fact, recent studies highlighted how existing mode... Read More about A machine learning approach for the estimation of fuel consumption related to road pavement rolling resistance for large fleets of trucks.

Investigation into the bond strength of bitumen-fibre mastic (2018)
Journal Article
Mohammed, M., Parry, T., Thom, N., & Grenfell, J. (2018). Investigation into the bond strength of bitumen-fibre mastic. Construction and Building Materials, 190, 382-391. https://doi.org/10.1016/j.conbuildmat.2018.09.084

The loss of bond strength in road pavement surfacing due to high traffic loads or moisture is a recurring problem, creating distresses such as ravelling, fatigue and rutting. It is, therefore, important to find a way to prevent or at least delay the... Read More about Investigation into the bond strength of bitumen-fibre mastic.

A big data approach for investigating the performance of road infrastructure (2018)
Conference Proceeding
Perrotta, F., Parry, T., Neves, L. C., Mesgarpour, M., Benbow, E., & Viner, H. (2018). A big data approach for investigating the performance of road infrastructure. In n/a

“Using truck sensors for road pavement performance investigation” is a research project within TRUSS, an innovative training network funded from the EU under the Horizon 2020 programme. The project aims at assessing the impact of the condition of the... Read More about A big data approach for investigating the performance of road infrastructure.