IDEAS home Printed from https://ideas.repec.org/a/spr/jtrsec/v10y2017i3d10.1007_s12198-017-0179-4.html
   My bibliography  Save this article

Optimizating cargo security during transport using dataloggers

Author

Listed:
  • Martin Vlkovský

    (University of Defence)

  • Teodora Ivanuša

    (University of Maribor)

  • Vlastimil Neumann

    (University of Defence)

  • Pavel Foltin

    (University of Defence)

  • Hana Vlachová

    (University of Defence)

Abstract

This paper deals with cargo security and its optimization as a result of transport experiments. It also statistically evaluates these transport experiments with its emphasis on local extremes (accelerations) and compares the result of each day’s measurements. The article includes a model of cargo security on a medium size off-road T-810 6 × 6 truck, where the measured data was applied for logistics purposes. The completed transport experiment points to larger inertial forces during transport than predicted, based on the set of normative acceleration coefficient values. Although the results of the experiment show that the highest measured value of the coefficient of acceleration is 3 times greater than the normatively determined, we found the value to actually be 3.4 times higher than predicted, using the standard values. Due to the not inconsiderable percentage values which exceed the specified values of normatively set coefficients of acceleration (10.83%, respectively 13.31%) exceeding the set values of inertia forces can be expected in these cases as well.

Suggested Citation

  • Martin Vlkovský & Teodora Ivanuša & Vlastimil Neumann & Pavel Foltin & Hana Vlachová, 2017. "Optimizating cargo security during transport using dataloggers," Journal of Transportation Security, Springer, vol. 10(3), pages 63-71, December.
    • Handle: RePEc:spr:jtrsec:v:10:y:2017:i:3:d:10.1007_s12198-017-0179-4
    DOI: 10.1007/s12198-017-0179-4
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12198-017-0179-4
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s12198-017-0179-4?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Maria G. Burns, 2018. "Participatory Operational & Security Assessment on homeland security risks: an empirical research method for improving security beyond the borders through public/private partnerships," Journal of Transportation Security, Springer, vol. 11(3), pages 85-100, December.

    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:spr:jtrsec:v:10:y:2017:i:3:d:10.1007_s12198-017-0179-4. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.