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Verification of the HDM-4 fuel consumption model using a Big data approach: a UK case study

Perrotta, Federico; Parry, Tony; Neves, Luis C.; Buckland, Thomas; Benbow, Emma; Mesgarpour, Mohammad

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Authors

Federico Perrotta

Tony Parry

Thomas Buckland

Emma Benbow

Mohammad Mesgarpour



Abstract

This paper presents an assessment of the accuracy of the HDM-4 fuel consumption model calibrated for the United Kingdom and evaluates the need for further calibration of the model. The study focuses on HGVs and compares estimates made by HDM-4 to measurements from a large fleet of vehicles driving on motorways in England. The data was obtained from the telematic database of truck fleet managers (SAE J1939) and includes three types of HGVs: light, medium and heavy trucks. Some 19,991 records from 1,645 trucks are available in total. These represent records of trucks driving at constant speed along part of the M1 and the M18, two motorways in England.

Citation

Perrotta, F., Parry, T., Neves, L. C., Buckland, T., Benbow, E., & Mesgarpour, M. (2019). Verification of the HDM-4 fuel consumption model using a Big data approach: a UK case study. Transportation Research Part D: Transport and Environment, 67, 109-118. https://doi.org/10.1016/j.trd.2018.11.001

Journal Article Type Article
Acceptance Date Nov 9, 2018
Online Publication Date Nov 30, 2018
Publication Date Feb 1, 2019
Deposit Date Nov 28, 2018
Publicly Available Date Dec 1, 2019
Journal Transportation Research Part D: Transport and Environment
Print ISSN 1361-9209
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 67
Pages 109-118
DOI https://doi.org/10.1016/j.trd.2018.11.001
Keywords HDM-4; Fuel Consumption; Calibration; Telematic Data; Big Data
Public URL https://nottingham-repository.worktribe.com/output/1317356
Publisher URL https://www.sciencedirect.com/science/article/pii/S1361920918305947?via%3Dihub
Additional Information This article is maintained by: Elsevier; Article Title: Verification of the HDM-4 fuel consumption model using a Big data approach: A UK case study; Journal Title: Transportation Research Part D: Transport and Environment; CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.trd.2018.11.001; Content Type: article; Copyright: © 2018 Elsevier Ltd. All rights reserved.

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