Statistical Analysis of Driving Style and its Effect on Cargo Securing
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG42__%2F18%3A00535270" target="_blank" >RIV/60162694:G42__/18:00535270 - isvavai.cz</a>
Result on the web
—
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Statistical Analysis of Driving Style and its Effect on Cargo Securing
Original language description
This article deals with evaluating a transport experiment in the training of drivers on roads paved with granite block. The data measured consists of magnitudes of acceleration coefficients obtained over one-second intervals in three axes and is statistically analyzed. A variance analysis is performed by multiple comparisons to verify the equivalence hypothesis of the mean values of acceleration coefficients (their magnitude in absolute value) separately for each of 14 drivers for each coordinate (axis). The results of the analysis show certain specific pairs of drivers whose driving style show significantly varied magnitudes of those acceleration coefficients in some axes. Emphasis is placed on the influence of driving style on the acceleration coefficients generated with regard to cargo securing. The model further compares the effect of these variable magnitudes of acceleration coefficients on cargo securing and identifies recommendations for optimization.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
50902 - Social sciences, interdisciplinary
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the Fourth International Conference on Traffic and Transport Engineering - ICTTE 2018
ISBN
978-86-916153-4-5
ISSN
—
e-ISSN
—
Number of pages
7
Pages from-to
744-750
Publisher name
City Net Scientific Research Center Ltd. Belgrade
Place of publication
Bělehrad
Event location
Bělehrad
Event date
Sep 27, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000542956800100