Built from the human body
It is the decrease of our mental and/or physical capacities which affects our cognitive capacities and response times. Fatigue -since society started to function under 24/7 shifts- became a threat for human beings, and for a long time there was no clear explanation on its symptoms and risks. Currently, after years of studies from different scientists and institutions, we finally have an answer. Fatigue is an every-day complex and invisible problem for drivers of heavy-duty vehicles.
of heavy-duty vehicle accidents are related to fatigue.
of fatal accidents en route are the result of drowsiness.
hours without any sleep generates in our body an equivalent to an 0,8 degrees of alcohol in our blood.
The human body physiology has a determined behavior, with patterns that repeat every 24 hours. The previous is a product of an extensive evolution that prioritized survivor, with rules that when not accomplished, causes fatigue in the body. Our Fatigue Model analyzes different aspects to calculate risk fatigue in a driver during a vehicular operation. In other words, it calculates the chances of a driver of suffering microsleep episodes in a determined time of the day.
These are oscillations of our biological variables in 24-hour intervals. Our alert level vary from our bodily functions, depending directly on the time of the day. The previous explains why in certain hours there is a better risk of suffering a serious accident.
Keeping ourselves awake for long periods causes fatigue in our bodies. “Our battery” unloads and it gets to a point in which our abilities can be compared to those under the influence of alcohol.
An average adult should sleep approximately 8 hours a day, in case he/she doesn’t achieve it, and in case he/she doesn’t achieve it he/she will accumulate a sleep debt, which will negatively impact on his/her alert curve and so its “battery”, considerably increasing the risks of suffering major accident.
With a survey we are able to classify driver's based on its resting habits and risk perception. This way, we can adapt our baseline when there are relevant factors that impact on risk.
Microsleep events have a large impact on the Fatigue Model, this is why historical information can help classify a driver and prepare a corresponding baseline. If such microsleep events occurs in future work hours, this would be included in the model in order to update the information.
In Gauss Control we believe that reducing serious accidents is a continuous job that must be monitored and improved based on goals. Fatigue Model can also readapt its variable based on the fulfillment of the management protocol.