RESEARCH PAPER
Evaluating vehicle repair duration in relation to driving styles
1
Department of Technology Fundamentals, University of Life Sciences in Lublin, Poland
2
Department of Sustainable Transportation and Powertrains, Lublin University of Technology, Poland
3
Department of Automobile Engineering, Vilnius Gediminas Technical University, Lithuania
Submission date: 2024-08-26
Final revision date: 2024-09-15
Acceptance date: 2024-11-08
Online publication date: 2024-11-14
Publication date: 2024-11-14
Corresponding author
Dariusz Siłuch
Department of Technology Fundamentals, University of Life Sciences in Lublin, Głęboka 28, 20-612, Lublin, Poland
Department of Technology Fundamentals, University of Life Sciences in Lublin, Głęboka 28, 20-612, Lublin, Poland
Eksploatacja i Niezawodność – Maintenance and Reliability 2025;27(2):195746
HIGHLIGHTS
- Mean time to repair (MTTR) is often used in vehicle maintenance models.
- The time a vehicle spends in repairs depends on driving styles.
- Driving style is evaluated based on average fuel consumption.
- The time the vehicles spend in repairs depends most on an aggressive driving style.
KEYWORDS
TOPICS
ABSTRACT
One of the important factors affecting the technical condition of vehicles is driving style. This paper investigates the extent to which vehicle repair duration depends on different driving styles. Driving style was assessed based on average fuel consumption, which is an indicator of driving behavior. Three distinct driving styles were identified: mild, moderate, and aggressive, each characterized by different levels of average fuel consumption. The analyses were carried out on the basis of actual operating data of vehicles included in the fleet of one of the transport companies operating in the city of Lublin, Poland. The results of the study showed how vehicle repair time can be reduced by changing driving style from aggressive to mild, and can help answer the question of whether it is justified to increase drivers' competence in economical driving in order to improve vehicle reliability.
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CITATIONS (1):
1.
Intelligent Systems in Production Engineering and Maintenance IV
Agata Perzanowska, Anna Borucka
Agata Perzanowska, Anna Borucka
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| eISSN: | 2956-3860 |
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