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Operational Research in Engineering Sciences: Theory and ApplicationsVolume 2, Issue 1, 19 April 2019, Pages 15-26

Evaluation of the eco-driving training of professional truck drivers(Article)(Open Access)

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  • aFaculty of Technical Sciences, Trg Dositeja Obradovića 6, Novi Sad, Serbia
  • bScania BH D.o.o., Sarajevo, Bosnia and Herzegovina

Abstract

The paper presents the evaluation of the Eco-driving program impact (classroom with on-road instructions) on truck drivers' operation parameters. A total of 8 professional truck drivers were tested in the real driving conditions. Evaluation of the training impact on the drivers' behavior was done in three periods: intervention period (P1), one month after training (P2) and four months after training (P3). Data was collected with the assistance of the Scania Fleet Management SystemTM. Fuel economy and CO2 emission, idling time and coasting were significantly improved in the periods P2 and P3 compared to period P1 while speeding significantly increased. Statistically, the use of the brake did not significantly change in the first and fourth month after the completed training in comparison to the intervention period. The drivers' adoption of the eco-driving tips showed that statistically significant differences in fuel consumption and brake usage were obtained. This study shows that the use of the eco-driving techniques has got a potential for significant short-term reduction of fuel consumption and CO2 emission in road transport; hence in the future the research studies will deal with the effects of training and potential downtrend in the long run (> 6 months). Also, future research projects should analyze the impact of the drivers' socio-economic characteristics on the application of the eco-driving instructions. © 2019 by the authors. Submitted for possible open access publication under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).

Author keywords

Eco-drivingEffect evaluationOperation parametersTruck drivers
  • ISSN: 26201607
  • Source Type: Journal
  • Original language: English
  • DOI: 10.31181/oresta1901001s
  • Document Type: Article
  • Publisher: Regional Association for Security and crisis management

  Savković, T.; Faculty of Technical Sciences, Trg Dositeja Obradovića 6, Novi Sad, Serbia;
© Copyright 2021 Elsevier B.V., All rights reserved.

Cited by 8 documents

Pozueco, L. , Gupta, N. , Paneda, X.G.
Data Analytics to Support a Smart Fleet Management Strategy
(2023) IEEE Intelligent Transportation Systems Magazine
Peng, C. , Wang, Y. , Xu, T.
Transient fuel consumption prediction for heavy-duty trucks using on-road measurements
(2023) International Journal of Sustainable Transportation
Lanotte, H. , Rossi, D.
Pratiques de mobilisation RH et adoption de l’éco–conduite : le cas Delta (Vietnam) | (High commitment practices and eco-driving adoption: the Delta case (Vietnam))
(2022) Logistique et Management
View details of all 8 citations
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