Automation warning system against driver falling asleep in-traffic

Journal Title: Вестник МГТУ - Year 2017, Vol 20, Issue 4

Abstract

The paper is devoted to the development of a new automation recognition and warning system against driver falling asleep in-traffic. The issue of the physical condition control of professional drivers on the voyage has been considered both on the part of efficiency and quality of its determination, and in terms of improving overall road safety. The existing and widely used devices for determining the transition to the stage of sleep of drivers being in-traffic have been analyzed. Their advantages and disadvantages have been detected. It has been established that the main negative factor preventing the mass introduction of pre-existing warning systems is the need to wear one or another monitoring device before starting the movement. Carried out project research work has proposed a complex monitoring of the physical and physiological condition of driving person as a new warning method against falling asleep in-traffic. The proposed variations of algorithmic implementations can be used in long-distance trucks and passenger vehicles. Two different versions of the automatic control status of the driver physical condition have been considered. The first approach has proposed the use of sensors of the biometric parameters of body, pulsus, body temperature, and hands on wheel pressure sensors. The second one has proposed using the tracking cameras. Both for the first and second versions of the automation system a toolset of control devices is being installed inside the vehicle and have no physical, so irritating action on the driver. Software approach for the false operation rejection of the devices has been developed. The paper considers the flow diagrams of the automatic systems and logical structure of analysis and decision-making. The set of impacts intended for driver's awakening has been proposed. The conclusion about the engineering perspectives of the proposed approach of projected automation systems has been made.

Authors and Affiliations

I. S. Dymov, R. E. Derevyanko, D. A. Kotin

Keywords

Related Articles

Estimation of morphometric and fish-breeding biological indicators of Siberian sturgeon (Acipenser baerii Brandt) from the Lena River population, rearing in the conditions of the Far North

Aquaculture is actively developing in the European North. This area is mainly based on using natural water bodies and the cultivation of cold-loving fish species. Sturgeon is a valuable and perspective object of warm-wat...

Viability of the culture of Bifidobacterium bifidum immobilized by microencapsulation in dairy drink and the simulated gastrointestinal liquids

The existing technologies of the enriched dairy drinks assume enrichment of a product by live microorganisms, so-called probiotics, generally lactobacilli and bifidobacteria. However, the viability of probiotics and qual...

Graphite as an indicator of contact influence of Western Keivy alkaline granite intrusion, the Kola Peninsula

The results of complex petro-mineragraphic, Raman and isotope-geochemical study of three types of graphite-bearing rocks circulated at different distances from the alkaline granites: (1) kyanite schists of Bolshiye Keivy...

Long-term dynamics of biological indicators of navaga Eleginus nawaga (Walbaum, 1792) of the White Sea in relation to changes of the reservoir temperature regime

Systematic studies of navagа of the White Sea were initiated in the late 1960-ies. Data sets on dimensional indicators, age composition of populations of navaga of the Onega, Dvina, Mezen Bays and Voronka of the White Se...

Growth of Pedicularis palustris L. (Orobanchaceae) in the grassy fens of the Murmansk Region

The main stages of ontogenetic growth of Pedicularis palustris (Orobanchaceae) in the multi-species communities of grassy fens in the central part of the Murmansk region (in the vicinity of the town of Apatity) have been...

Download PDF file
  • EP ID EP255612
  • DOI 10.21443/1560-9278-2017-20-4-659-664
  • Views 141
  • Downloads 0

How To Cite

I. S. Dymov, R. E. Derevyanko, D. A. Kotin (2017). Automation warning system against driver falling asleep in-traffic. Вестник МГТУ, 20(4), 659-664. https://europub.co.uk/articles/-A-255612