Analysis of Failures Admitted and not Admitted by Types of Cars as Part of Authorized Periodic Technical Inspections
Keywords:
car; statistical analysis; Pearson functionAbstract
This paper aims at an analysis of the defects found in motor vehicles during the mandatory technical inspections carried out in an authorized periodic inspection station. Periodic technical inspection is defined as an inspection designed and carried out to ensure that a vehicle can be used safely on public roads and that it complies with the mandatory safety and environmental characteristics. The analysis of the defects was performed by centralizing the data of the vehicles that were presented for the periodic technical inspection within a station in Galati and that were detected with defects. The study was conducted for the period 2019-2020. In the first phase, for each case, the date of submission to the periodic technical inspection process, make, model, year of manufacture, total mileage and constant defect were highlighted. Subsequently, for a complex analysis, the country of origin of the vehicle manufacturer was identified and the defects found were grouped into categories that refer to the subassembly to which it refers. Following the correlation made between faults and the country of origin, we noticed that English vehicles are the most prone to faults that refer to the exhaust system, the steering system, the signaling system and those classified as other non-conformities.
References
Haldun Akoglu, User's guide to correlation coefficients, Turkish Journal of Emergency Medicine
Volume 18, Issue 3, September 2018, Pages 91-93
Amortila V., Mereuta E., Balasoiu G., Veresiu S., Use of Statistical Correlation Analysis in the Study of Road Accidents, Journal of Danubian Studies and Research, Vol. 11, No. 1/2021.
Kogani, M.; Almasi, S.A.; Ansari-Mogaddam, A.; Dalvand, S.; Okati-Aliabad, H.; Tabatabaee, S. M.;
& Almasi, S.Z.(2020). Relationship between using cell phone and the risk of accident with motor
vehicles: An analytical cross-sectional study. Chinese Journal of Traumatology 23 (2020) 319e323.
Yannis, G.; Theofilatos, A. & Pispiringos, G. (2017). Investigation of road accident severity per vehicle
type. Transportation Research Procedia 25 (2017), pp. 2076–2083.
https://www.statisticshowto.com/probability-and-statistics/correlation-coefficient-formula/
http://www.itp-automoto.ro/Legislatie-ITP
Published
How to Cite
Issue
Section
License
The author fully assumes the content originality and the holograph signature makes him responsible in case of trial.