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SAVCHENKO Vladimir V., Ph. D. in Eng., Director of R&D Center “Onboard control systems of mobile machines” — Head of the Department of Active Safety and Control Systems, Joint Institute of Mechanical Engineering of the National Academy of Sciences of Belarus, Minsk, Republic of Belarus, This email address is being protected from spambots. You need JavaScript enabled to view it.">This email address is being protected from spambots. You need JavaScript enabled to view it.

Year 2018 Issue 1 Pages 14-20
Type of article RAR Index UDK 629.113.06+612.821+612.223+616.2 Index BBK  

Driver assistance systems are at the peak of their development and are already actively used by the world’s leading automakers as an effective tool to improve traffic safety (reducing accident rates). The driver fatigue monitoring systems at the methodological level and functional purpose are actively developing and have outlined a trend, including the transition of a number of functions from the category of assistant systems to the category of active safety systems operating in automatic mode. The most effective method of automatically interpreting the driver’s functional state in terms of driver fatigue (deep relaxation, when the number of driver errors significantly increases which can lead to an accident, the driver’s functional state preceding the fall asleep) is the most effective, having the least probability of a dangerous failure. It is based on monitoring and analysis of parameters of the electrodermal activity. Methods of automatic interpretation of the functional state of the driver allow us to expand the functionality of a number of security systems and increase their effectiveness. It shows the relevance of monitoring the driver’s functional state before the vehicles achieve full autonomy of traffic.


fatigue monitoring, maintenance system, active safety systems, driver assistance systems, functional state, vigilance level

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  • ADAS – uluchshennye sistemy pomoshhi voditelju [ADAS – improved driver assistance systems]. Available at: (accessed 20 December 2017).
  • ADAS: kak sovremennye avtomobili obespechivajut bezopasnost voditelej [ADAS: how modern cars provide driver safety]. Available at: (accessed 20 December 2017).
  • Sovremennye sistemy sodejstvija voditelju (ADAS) [Modern driver assistance systems (ADAS)]. Available at: 20 December 2017).
  • Advanced Driver Assistance Systems (ADAS). Available at: Session/ (accessed 20 December 2017).
  • The ADAS and Active Safety Report. Available at: (accessed 20 December 2017).
  • Pochti kazhdyj chetvertyj novyj avtomobil v Germanii osnashhaetsja sistemoj preduprezhdenija ob ustalosti voditelja [Almost every fourth new car in Germany is equipped with a driver fatigue warning system]. Available at: (accessed 20 December 2017).
  • Gerus S. V. [et al.] Sistema monitoringa sostojanija voditelja i bezopasnost na avtomobilnom transporte [System of monitoring the driver's condition and safety in road transport]. Biomedicinskie tehnologii i radiojelektronika [Biomedical
    technologies and radio electronics], 2003, no. 8, pp. 46–52.
  • Savchenko V.V. Bortovaja sistema monitoringa funkcionalnogo sostojanija operatora transportnogo sredstva [Onboard monitoring system for the functional state of the vehicle operator]. Mehanika mashin, mehanizmov i materialov [Mechanics of machines, mechanisms and materials], 2012, no. 1(18), pp. 20–25.
  • Dementienko V.V. Fizicheskie principy postroenija sistem bezopasnogo monitoringa sostojanija cheloveka-operatora. Diss. dokt. tehn. nauk [Physical principles of construction of systems for safe monitoring of human operator status. Extended Abstract of D. Sc. Thesis]. Moscow, 2010. 41 p.
  • Savchenko V.V. Obratnye svjazi v zadache podderzhanija operatorov sistem “chelovek-mashina” v sostojanii gotovnosti k jekstrennomu dejstviju [Feedbacks in the problem of maintaining operators of human-machine systems in the state
    of readiness for emergency action]. Sistemnyj analiz i upravlenie v biomedicinskih sistemah [System analysis and management in biomedical systems], 2005, vol. 4, no. 4, pp. 477–481.
  • Savchenko V.V. Razvitie metodologii monitoringa funkcional'nyh sostojanij operatorov transportnyh sistem “chelovekmashina” [Development of a methodology for monitoring the functional states of operators of human-machine transport systems]. Mehatronika, avtomatizacija, upravlenie [Mechatronics, automation, control], 2013, no. 6, pp. 27–32.
  • Gusarov A.P. Tendencii reglamentacii trebovanij k bortovym intellektualnym transportnym sistemam v komitete po vnutrennemu transportu EJeK OON [Trends in the regulation of requirements for airborne intelligent transport systems in the
    UNECE Inland Transport Committee]. Zhurnal avtomobilnyh inzhenerov [Journal of Automotive Engineers], 2011, no. 3(68), pp. 4–8.
  • Obzor sistem pomoshhi voditelju koncerna Volkswagen [Overview of Volkswagen assistance systems for the driver]. Available at: (accessed 20 December 2017).
  • Bonch-Bruevich V.V. [et al.] Distancionnyj kontrol bodrstvovanija voditelja v rejse [Remote control of wakefulness of the driver during driving]. Avtomatizacija v promyshlennosti [Automation in industry], 2015, no. 2, pp. 33–35.
  • Otchet “Obzor sistem bditelnosti voditelja” [Report “Overview of Driver Vigilance Systems”]. Available at: (accessed 20 December 2017).
  • Operator Fatigue Detection Technology Review. USA, Caterpillar Inc. Peoria, IL, 2008.
  • Savchenko V.V. Metody i sredstva povyshenija jeffektivnosti funkcionirovanija operatorov transportnyh sistem “chelovekmashina” [Methods and means of increasing the efficiency of operators of human-machine transport systems]. Izvestija
    Nacionalnoj akademii nauk Belarusi. Serija fiziko-tehnicheskih nauk
    [Proceedings of the National Academy of Sciences of Belarus. Series of Physical-Technical Sciences], 2005, no. 2, pp. 9–37.
  • Savchenko V.V. Psihofiziologicheskie aspekty povyshenija jeffektivnosti raboty voditelej karernyh samosvalov [Psychophysiological aspects of improving the performance of drivers of quarry dump trucks]. Gornyj zhurnal [Mining Journal], 2005, no. 9–10, pp. 94–96.
  • Plan meroprijatij (dorozhnaja karta) “Avtonet” Nacionalnoj tehnologicheskoj iniciativy RF [Action plan (road map) of “Autonet” of the National Technological Initiative of the Russian Federation]. Available at: (accessed 20 December 2017).
  • Nazarenko S.V. Predlozhenija po sisteme pomoshhi voditelju [Proposals for a driver assistance system]. Trudy mezhdunar. avtomobil. nauch. foruma “Intellektualnye transportnye sistemy” (MANF-2017) [Proc. Int. Aut. Sci. Forum “Intelligent Transport Systems” (MANF-2017)]. Moscow, 2017.