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Using truck sensors for road pavement performance investigation

Perrotta, Federico; Parry, Tony; Neves, Luís C.

Authors

Federico Perrotta Federico.Perrotta@nottingham.ac.uk

Tony Parry Tony.Parry@nottingham.ac.uk

Luís C. Neves Luis.Neves@nottingham.ac.uk



Abstract

Considering data from 260 articulated trucks, with ~12900 cc Euro 6 engines driving along a motorway in England (M18), the study first shows how different approaches lead to the conclusion that road pavement surface conditions influence fuel consumption of the considered truck fleet. Then, a multiple linear regression for the prediction of fuel consumption was generated. The model shows that evenness and macrotexture can impact the truck fuel consumption by up to 3% and 5%, respectively. It is a significant impact which confirms that, although the available funding for pavement maintenance is limited, the importance of limiting GHG emissions, together with the economic benefits of reducing fuel consumption are reasons to improve road condition (Zaabar & Chatti, 2010).

Publication Date May 25, 2017
Peer Reviewed Peer Reviewed
APA6 Citation Perrotta, F., Parry, T., & Neves, L. C. (2017). Using truck sensors for road pavement performance investigation
Keywords Fuel Consumption, Fuel Economy, Road Conditions, Roughness, Evenness, Macro-texture, Fleet Management, Asset Management
Publisher URL https://www.crcpress.com/ESREL-2017-Portoroz-Slovenia-18-22-June-2017/Cepin-Bris/p/book/9781138629370
Related Public URLs http://esrel2017.org
Copyright Statement Copyright information regarding this work can be found at the following address: http://eprints.nottingh.../end_user_agreement.pdf
Additional Information This is an Accepted Manuscript of a book chapter published by CRC Press in ESREL-2017-Portoroz-Slovenia-18-22-June-2017 on May 25, 2017, available online: http://www.routledge.co...is/p/book/9781138629370

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Paper ESREL 2017 - Perrotta Parry Neves v2.pdf (262 Kb)
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Copyright Statement
Copyright information regarding this work can be found at the following address: http://eprints.nottingham.ac.uk/end_user_agreement.pdf



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