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Improvement of Road Safety through Appropriate Cargo Securing Using Outliers

Author

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  • Martin Vlkovský

    (Department of Logistics, University of Defence, 662 10 Brno, Czech Republic)

  • Jiří Neubauer

    (Department of Quantitative Methods, University of Defence, 662 10 Brno, Czech Republic)

  • Jiří Malíšek

    (Department of Logistics, University of Defence, 662 10 Brno, Czech Republic)

  • Jaroslav Michálek

    (Department of Quantitative Methods, University of Defence, 662 10 Brno, Czech Republic)

Abstract

The article focuses on evaluating a transportation experiment that intends to improve road safety by analyzing transport shocks that significantly affect the system of securing the load, vehicle, driver, and other aspects. Within Europe, improper or insufficient securing of loads causes up to 25% of all cargo vehicle accidents. Our transport experiment consists of eight rides of a Tatra truck. The measured values of shocks (acceleration coefficients) are statistically evaluated. Three hypotheses are established for these purposes. First, it is proven that the probability distributions of the shocks values differ statistically significantly among individual rides, namely in their shape and median value. Thus further statistical analyses are performed separately for the individual rides, axes, and the accelerometer locations. These analyses prove significant exceedances of the normatively set limits given by the EN 12195-1:2010 standard, which is potentially risky. Especially for the z axis and y axis, the set 20% limit was exceeded in 75.0% and 56.3% of cases, respectively. In the case of the x axis, the established 20% limit was practically not exceeded at all. The analysis of exceeding the permitted limits (the statistical evaluation of the second and third established hypothesis) is based on boxplots that graphically describe the individual rides, as well as on the found contaminated log-normal distribution of the values of the acceleration coefficients in the individual rides. The last hypothesis regarding exceeding the double value of the permitted limit is rejected. Methods of statistical comparison are used during data analysis. The probability distribution of acceleration coefficients is modeled using a contaminated log-normal distribution.

Suggested Citation

  • Martin Vlkovský & Jiří Neubauer & Jiří Malíšek & Jaroslav Michálek, 2021. "Improvement of Road Safety through Appropriate Cargo Securing Using Outliers," Sustainability, MDPI, vol. 13(5), pages 1-16, March.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:5:p:2688-:d:509201
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    References listed on IDEAS

    as
    1. Francisco Calvo-Poyo & José Navarro-Moreno & Juan de Oña, 2020. "Road Investment and Traffic Safety: An International Study," Sustainability, MDPI, vol. 12(16), pages 1-15, August.
    2. Luid Pereira de Oliveira & Felipe Jiménez Alonso & Marcelino Aurélio Vieira da Silva & Breno Tostes de Gomes Garcia & Diana Mery Messias Lopes, 2020. "Analysis of the Influence of Training and Feedback Based on Event Data Recorder Information to Improve Safety, Operational and Economic Performance of Road Freight Transport in Brazil," Sustainability, MDPI, vol. 12(19), pages 1-22, October.
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