IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i5p2688-d509201.html
   My bibliography  Save this article

Improvement of Road Safety through Appropriate Cargo Securing Using Outliers

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/5/2688/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/5/2688/
    Download Restriction: no
    ---><---

    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Maximilian Braun & Jan Kunkler & Florian Kellner, 2020. "Towards Sustainable Cities: Utilizing Floating Car Data to Support Location-Based Road Network Performance Measurements," Sustainability, MDPI, vol. 12(19), pages 1-22, October.
    2. Mohsen Kalantari & Saeed Zanganeh Shahraki & Bamshad Yaghmaei & Somaye Ghezelbash & Gianluca Ladaga & Luca Salvati, 2021. "Unraveling Urban Form and Collision Risk: The Spatial Distribution of Traffic Accidents in Zanjan, Iran," IJERPH, MDPI, vol. 18(9), pages 1-15, April.
    3. Fabricio Esteban Espinoza-Molina & Christian Fernando Ojeda-Romero & Henry David Zumba-Paucar & Giovanny Pillajo-Quijia & Blanca Arenas-Ramírez & Francisco Aparicio-Izquierdo, 2021. "Road Safety as a Public Health Problem: Case of Ecuador in the Period 2000–2019," Sustainability, MDPI, vol. 13(14), pages 1-20, July.
    4. Wang, Shuaian & Yan, Ran, 2023. "Fundamental challenge and solution methods in prescriptive analytics for freight transportation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 169(C).
    5. Delia Hendrie & Greg Lyle & Max Cameron, 2021. "Lives Saved in Low- and Middle-Income Countries by Road Safety Initiatives Funded by Bloomberg Philanthropies and Implemented by Their Partners between 2007–2018," IJERPH, MDPI, vol. 18(21), pages 1-21, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:13:y:2021:i:5:p:2688-:d:509201. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.