BIO Web Conf.
Volume 10, 2018Contemporary Research Trends in Agricultural Engineering
|Number of page(s)||3|
|Section||Engineering and Technology|
|Published online||26 March 2018|
Modelling fatigue assessment at the vehicle driver’s station
University of Life Sciences in Lublin, Faculty of Production Engineering, Department of Ergonomics, 20-612 Lublin, Głęboka 28. Poland
* Corresponding author: firstname.lastname@example.org
The article presents the principles of fatigue assessment modeling in a driver's station using Bayesian networks. One of the causes of road collisions and accidents is fatigue. The factors determining fatigue are age of driver, psychophysical and health condition, time and length of the route being taken. At present, there is no clear criteria for assessing fatigue among professional drivers, so the objective of assessment is to attempt to design and construct a fatigue assessment model using Bayesian network technology.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.