Effects of Driving Style and Vehicle Maintenance on Vehicle Roadworthiness
Abstract
Vehicles that are non-roadworthy pose a hazard for all road users and can be one of the main causes of traffic accidents. Previous studies have analysed the impact of the driving style on environmental sustainability and road safety. Starting from this, there was a need to further investigate the relationship between the driving style and vehicle roadworthiness as well. Vehicles that do not comply with the prescribed requirements should be excluded from traffic at a periodic technical inspection. However, the causes of detected vehicle defects cannot be established at a periodic technical inspection. The paper therefore, examines the factors affecting vehicle roadworthiness. First, the failure rate and mileage of vehicles at periodic technical inspection regarding the type of ownership was examined. In addition, a questionnaire was conducted to collect data about the driving style and maintenance habits of different types of car owners. The paper argues that vehicles owned by legal entities were generally in a worse condition than the vehicles owned by natural persons, due to the increased vehicle exploitation, but also due to a more aggressive driving style. Finally, it was found that by modifying their driving style, the drivers can affect the condition of their vehicles, considering the same mileage and maintenance habits.
References
Boada BL, Boada MJL, Ramirez M, Diaz V. Study of van roadworthiness considering their maintenance and periodic inspection. The Spanish case. Transportation Letters – The International Journal of Transportation Research. 2014;6(4): 173-184. Available from: doi:10.1179/1942787514Y.0000000023
Saito K. Evaluating Automobile Inspection Policy Using Auto Insurance Data. Contemporary Economic Policy. 2009;27(2): 200-215. Available from: doi:0.1111/j.1465-7287.2008.00108.x
Zovak G, Čala I, Šiško I. Application of standards in auditing of stations for technical inspection of vehicles. Promet – Traffic&Transportation. 2009;21(3): 191-198. Available from: doi:10.7307/ptt.v21i3.225
Caban J, Drozdziel P, Krzywonos L, Rybicka I, Šarkan B, Vrabel J. Statistical Analyses of Selected Maintenance Parameters of Vehicles of Road Transport Companies. Advances in Science and Technology Research Journal. 2019;13(1): 1-13. Available from: doi:10.12913/22998624/92106
Škreblin T. Elements of Calculation of Average Annual Mileage for Motor Vehicles. 3rd International scientific conference Lean Spring Summit; 2018. p. 59-71.
Paine M. Vehicle roadworthiness and accidents. Vehicle Design and Research. Victorian Parliament Road Safety Committee; 2000.
Akena R, Schmid F, Burrow M. Driving style for better fuel economy. Proceedings of the Institution of Civil Engineers – Transport. 2017;170(3): 131-139. Available from: doi:0.1680/jtran.15.00116
Yan F, Liu M, Ding C, Wang Y, Yan L. Driving Style Recognition Based on Electroencephalography Data from a Simulated Driving Experiment. Frontiers in Psychology. 2019;10: 1254. Available from: doi:10.3389/fpsyg.2019.01254
Bao Y, Chen W. A Personalized Route Search Method Based on Joint Driving and Vehicular Behviour Recognition. 2016 IEEE MTT-S International Wireless Symposium (IWS), 14-16 March 2016, Shanghai, China; 2016. Available from: doi:10.1109/IEEE-IWS.2016.7585488
Sanguinetti A, Kurani K, Davies J. The many reasons your mileage may vary: Toward a unifying typology of eco-driving behaviors. Transportation Research Part D. 2017;52: 73-84. Available from: doi:10.1016/j.trd.2017.02.005
Alam Md.S, McNabola A. A critical review and assessment of Eco-Driving policy & technology: Benefits & limitations. Transport Policy. 2014;35: 42-49. Available from: doi:10.1016/j.tranpol.2014.05.016
Manzoni V, Corti A, De Luca P, Savaresi SM. Driving style estimation via inertial measurements. 13th International IEEE Conference on Intelligent Transportation Systems; 2010. p. 777-782.
Van Mierlo J, Maggetto G, Van De Burgwal E, Gense R. Driving style and traffic measures-influence on vehicle emissions and fuel consumption. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering. 2004;218(1): 43-50.
Malikopoulos AA, Aguilar JP. Optimization of Driving Styles for Fuel Economy Improvement. Proceedings of the 15th IEEE Conference on Intelligent Transportation Systems (ITSC 2012). 16-19 Dec. 2012, Anchorage, Alaska, USA; 2012. Available from: doi:10.1109/ITSC.2012.6338607
DriveTech. The impact of driver behaviour on vehicle running costs; 2017. Available from: https://www.drivetech.co.uk/news-and-resources/the-impact-of-driver-behaviour-on-vehicle-running
Zovak G, Kos G, Huzjan B. The Driver Behaviour and Impact of Speed on Road Safety on The Motorways in Croatia. Promet – Traffic&Transportation. 2017;29(2): 155-164. Available from: doi:10.7307/ptt.v29i2.2071
Sagberg F, Selpi S, Bianchi Piccinini G, Engström J. A Review of Research on Driving Styles and Road Safety. Human Factors. 2015;57(7). Available from: doi:10.1177/0018720815591313.
Eboli L, Guido G, Mazzulla G, Pungillo G, Pungillo R. Investigating car users’ driving behaviour through speed analysis. Promet – Traffic&Transportation. 2017;29(2): 193-202. Available from: doi:10.7307/ptt.v29i2.2117
Eboli L, Mazzulla G, Pungillo G. How drivers’ characteristics can affect driving style. Transportation Research Procedia. 2017;27: 945-952. Available from: doi:10.1016/j.trpro.2017.12.024
Ly MV, Martin S, Triverdi MM. Driver Classification and Driving Style Recognition using Inertial Sensors. 2013 IEEE Intelligent Vehicles Symposium (IV), 23-26 June 2013, Gold Coast, QLD, Australia; 2013. p. 1040-1045. Available from: doi:10.1109/IVS.2013.6629603
Van Huysduynen HH, Terken J, Eggen B. The relation between self-reported driving style and driving behaviour. A simulator study. Transportation Research Part F. 2018;56: 245-255. Available from: doi:10.1016/j.trf.2018.04.017
Škreblin T. Model of PTI Stations Work Quality Assessment. Ph.D. thesis. University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture; 2017. Available from: http://repozitorij.fsb.hr/8896/1/%C5%A0kreblin_phd_2018.pdf
Christensen P, Elvik R. Effects on accidents of periodic motor vehicle inspection in Norway. Accident Analysis and Prevention. 2007;39: 47-52. Available from: doi:10.1016/j.aap.2006.06.003
Ministarstvo unutarnjih poslova. Bilten o sigurnosti cestovnog prometa u 2017; 2018. p. 65. Available from: https://mup.gov.hr/pristup-informacijama-16/statistika-228/statistika-mup-a-i-bilteni-o-sigurnosti-cestovnog-prometa/283233
Centar za vozila Hrvatske d.d.. Provjera tehničke ispravnosti vozila koja sudjeluju u prometnim nesrećama sa smrtno stradalim osobama. Izvješće o provedenim aktivnostima. Zagreb, Croatia: Centar za vozila Hrvatske d.d.; 2016.
Pejić G, Bijelić F, Zovak G, Lulić Z. Model for Calculating Average Vehicle Mileage for Different Vehicle Classes Based on Real Data: A Case Study of Croatia. Promet – Traffic&Transportation. 2019;31(2): 213-222. Available from: doi:10.7307/ptt.v31i2.3043
Martinussen LM, Moller M, Prato CG. Assessing the relationship between the Driver Behavior Questionnaire and the Driver Skill Inventory: Revealing sub-groups of drivers. Transportation Research Part F. 2014;26: 82-91. Available from: doi:10.1016/j.trf.2014.06.008
Copyright (c) 2020 Iva Mikulić, Igor Bošković, Goran Zovak
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
