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

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.
• Contract Date: Nov 28, 2018