Study of the Impact of Technical Malfunctioning of Vital Vehicular Parts on Traffic Safety

Vranješ, Đorđe; Vasiljević, Jovica; Jovanov, Goran; Radovanović, Radovan; Đurić, Tihomir

doi:10.17559/tv-20150908121510

Cited by 2 publications

(1 citation statement)

References 5 publications

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“…Technical inspection of a vehicle (TIV) is key to the sustainable state of traffic safety [5]. More than five individuals die every day in traffic accidents caused by technical malfunctions of motor vehicles in the territory of the European Union [6].…”

Section: Introductionmentioning

confidence: 99%

Model for Sustainable Evaluation of the Impact of the Total Number of Centers for Technical Inspections of Motor Vehicles on the Occurrence and Consequences of Traffic Accidents in an Area

et al. 2022

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Along with the development of capacities for the improvement of traffic safety, this work creates a model that analyzes the impact of the total number of centers for technical inspections of motor vehicles on the occurrence and consequences of accidents in a selected area. By using the statistical program SPSS26 and applying standard multiple regression, an analysis of the statistical correlations between a continuous dependent variable (number of accidents caused by technical malfunctions of vehicles) and two independent variables (number of centers for technical inspections of vehicles and number of vehicles registered by police jurisdictions) was performed. The aim of this work was to determine the influence of a part of the dependent variable’s variance that was explained by the variance of independent variables. The research results showed that the total number of technical inspections in relation to the number of registered vehicles in the selected area included a much larger part of the dependent variable’s variance, which referred to the total number of accidents caused by vehicles’ technical inspections. The results also showed a negative correlation value, i.e., that a larger number of technical inspections in relation to the number of registered vehicles did not have a positive impact on the increase in the number of accidents and consequences where the cause was technical malfunction, as well as that the number of centers and the number of registered vehicles had different influences on the occurrence of accidents and their consequences.

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Section: Introductionmentioning

confidence: 99%

Model for Sustainable Evaluation of the Impact of the Total Number of Centers for Technical Inspections of Motor Vehicles on the Occurrence and Consequences of Traffic Accidents in an Area

et al. 2022

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Modelling driver propensity for traffic accidents: a comparison of multiple regression analysis and fuzzy approach

Čubranić-Dobrodolac

Švadlenka

Čičević

et al. 2019

International Journal of Injury Control and Safety Promotion

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This research proposes an assessment and decision support model to use when a driver should be examined about their propensity for traffic accidents, based on an estimation of the driver's psychological traits. The proposed model was tested on a sample of 305 drivers. Each participant completed four psychological tests: the Barratt Impulsiveness Scale (BIS-11), the Aggressive Driving Behaviour Questionnaire (ADBQ), the Manchester Driver Attitude Questionnaire (DAQ), and the Questionnaire for Self-assessment of Driving Ability. In addition, participants completed an extensive demographic and driving survey. Various fuzzy inference systems were tested and each was defined using the well-known Wang-Mendel method for rule-base definition based on empirical data. For this purpose, a programming code was designed and utilised. Based on the obtained results, it was determined which combination of the considered psychological tests provides the best prediction of a driver's propensity for traffic accidents.The best of the considered fuzzy inference systems might be used as a decision support tool in various situations, such as in recruitment procedures for professional drivers. The validity of the proposed fuzzy approach was confirmed as its implementation provided better results than from statistics, in this case multiple regression analysis.

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Study of the Impact of Technical Malfunctioning of Vital Vehicular Parts on Traffic Safety

Cited by 2 publications

References 5 publications

Model for Sustainable Evaluation of the Impact of the Total Number of Centers for Technical Inspections of Motor Vehicles on the Occurrence and Consequences of Traffic Accidents in an Area

Model for Sustainable Evaluation of the Impact of the Total Number of Centers for Technical Inspections of Motor Vehicles on the Occurrence and Consequences of Traffic Accidents in an Area

Modelling driver propensity for traffic accidents: a comparison of multiple regression analysis and fuzzy approach

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