Evaluating vehicle repair duration in relation to driving styles

被引:0
|
作者
Siluch, Dariusz [1 ]
Drozdziel, Pawel [2 ]
Pukalskas, Saugirdas [3 ]
机构
[1] Univ Life Sci Lublin, Dept Technol Fundamentals, Lublin, Poland
[2] Lublin Univ Technol, Dept Sustainable Transport & Powertrains, Lublin, Poland
[3] Vilnius Gediminas Tech Univ, Dept Automobile Engn, Vilnius, Lithuania
来源
EKSPLOATACJA I NIEZAWODNOSC-MAINTENANCE AND RELIABILITY | 2025年 / 27卷 / 02期
关键词
vehicle repair time; driving style; fuel consumption; maintenance; FUEL CONSUMPTION; CLASSIFICATION; MAINTENANCE;
D O I
10.17531/ein/195746
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
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.
引用
收藏
页数:10
相关论文
共 50 条
  • [41] Driving styles and traffic density diagnosis in simulated driving conditions.
    Tricot, N
    Sonnerat, D
    Popieul, JC
    IV'2002: IEEE INTELLIGENT VEHICLE SYMPOSIUM, PROCEEDINGS, 2002, : 298 - 303
  • [42] Toward Adaptive Driving Styles for Automated Driving with Users' Trust and Preferences
    Natarajan, Manisha
    Akash, Kumar
    Misu, Teruhisa
    PROCEEDINGS OF THE 2022 17TH ACM/IEEE INTERNATIONAL CONFERENCE ON HUMAN-ROBOT INTERACTION (HRI '22), 2022, : 940 - 944
  • [43] Driving Behavior Analysis: A Human Factors Perspective on Automated Driving Styles
    Peintner, Jakob
    Himmels, Chantal
    Rock, Teresa
    Manger, Carina
    Jung, Oliver
    Riener, Andreas
    2024 35TH IEEE INTELLIGENT VEHICLES SYMPOSIUM, IEEE IV 2024, 2024, : 3312 - 3317
  • [44] The identification of Malaysian driving styles using the multidimensional driving style inventory
    Karjanto, Juffrizal
    Yusof, Nidzamuddin Md.
    Terken, Jacques
    Hassan, Muhammad Zahir
    Delbressine, Frank
    van Huysduynen, Hanneke Hooft
    Rauterberg, Matthias
    2ND INTERNATIONAL CONFERENCE ON AUTOMOTIVE INNOVATION AND GREEN VEHICLE (AIGEV 2016), 2017, 90
  • [45] Evaluating Indoor Exposure Modeling Alternatives for LCA: A Case Study in the Vehicle Repair Industry
    Demou, Evangelia
    Hellweg, Stefanie
    Wilson, Michael P.
    Hammond, S. Katharine
    McKone, Thomas E.
    ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2009, 43 (15) : 5804 - 5810
  • [46] Operating styles, working time and daily driving distance in relation to a taxi driver's speeding offenses in Taiwan
    Tseng, Chien-Ming
    ACCIDENT ANALYSIS AND PREVENTION, 2013, 52 : 1 - 8
  • [47] Investigation of the relation between minimum effective duration of running autocorrelation function and operatic singing with different interpretation styles
    Center for Advanced Science and Innovation, Osaka University, 2-1 Yamada-oka, Suita, Osaka 565-0871, Japan
    不详
    不详
    不详
    不详
    Acta Acust. United Acust., 2007, 3 (421-434):
  • [48] Investigation of the relation between minimum effective duration of running autocorrelation function and operatic singing with different interpretation styles
    Kato, Kosuke
    Fujii, Kenji
    Hirawa, Takatsugu
    Kawai, Keiji
    Yano, Takashi
    Ando, Yoichi
    ACTA ACUSTICA UNITED WITH ACUSTICA, 2007, 93 (03) : 421 - 434
  • [49] Assessing Driving Styles in Commercial Motor Vehicle Drivers After Take-Over Conditions in Highly Automated Vehicles
    Samani, Ali Riahi
    Mishra, Sabyasachee
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 23 (10) : 19161 - 19172
  • [50] A Driving Simulator Study to Examine the Impact of Visual Distraction Duration from In-Vehicle Displays: Driving Performance, Detection Response, and Mental Workload
    Liang, Zhoushuo
    Wang, Yahui
    Qian, Cheng
    Wang, Yueyang
    Zhao, Chengyi
    Du, Hongjiang
    Deng, Jie
    Li, Xiaoqiong
    He, Yue
    ELECTRONICS, 2024, 13 (14)