Istrazivanja i projektovanja za privreduJournal of Applied Engineering Science

ORGANIZIing THE REGIME OF WORK AND REST OF DRIVERS ON MOUNTAIN ROADS


DOI: 10.5937/jaes0-45325 
This is an open access article distributed under the CC BY 4.0
Creative Commons License

Volume 21 article 1155 pages: 1148 -1155

Egenberdi Moldaliev
Naryn State University, 25 Sagynbaya Orozbak Street, Naryn, Kyrgyzstan

Kalmamat Atabekov
Kyrgyz State Technical University, 66 Mira Avenue, Bishkek, Kyrgyzstan

Kunduz Mambetalieva
Naryn State University, 25 Sagynbaya Orozbak Street, Naryn, Kyrgyzstan

Irina Troyanovskaya*
South Ural State University, 76 Lenin Avenue, Chelyabinsk, Russia

Sergey Voinash
Kazan Federal University, 18 Kremlin Street, Kazan, 420008, Russia

Ramil Zagidullin
Kazan Federal University, 18 Kremlin Street, Kazan, 420008, Russia

Linar Sabitov
Kazan Federal University, 18 Kremlin Street, Kazan, 420008, Russia; Ural Federal University named after the First President of Russia B.N. Yeltsin, Yekaterinburg, 620002, Russia; Kazan State Power Engineering University, 420066, Kazan, Russia

Mountain roads in Kyrgyzstan are characterized a large difference in altitude above sea level. Above 2,000 meters above sea level, drivers develop symptoms of altitude sickness. The aim of the study is to study the effect of atmospheric pressure on the body of a vehicle driver in mountainous conditions. The Bishkek-Naryn-Torugart international highway was chosen as an object. Control point No. 1 is located on the Torugart pass near the border with China (altitude is 3752 meters above sea level). Checkpoint No. 2 is located near the village of At-Bashy (altitude above sea level is 2046 meters). Control point No. 3 is located near the village of Kemin (altitude 1120 meters above sea level). The results of the study showed that blood pressure indicators change along the considered route depending on the height above sea level. For example, pressure indicators of 140-159 / 90-99 were observed in 24% of drivers at point No. 1, 19% at point No. 2 and only 5% at point No. 3. Blood pressure 160-179 / 100-109 (moderate hypertension) was observed in 7% of drivers in point 1 and in 5% of drivers in point 2. The main reason for the increase in pressure was a violation of the mode of work and rest of drivers. As a result, standards for the work of drivers of international road transport in high altitude conditions were developed and measures were proposed for the mandatory organization of rest places for drivers on the Bishkek-Naryn-Torugart road.

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1.      Shigaeva, J., Wolfgramm, B., Wolfgramm, B., Dear, C., Dear, C. (2013) Sustainable Land Management in Kyrgyzstan and Tajikistan: A Research Review. MSRI Background paper, no. 2, DOI:10.7892/BORIS.46607

2.      Troyanovskaya, I.P. (2022) Influence of Mountain Conditions on Road Fuel Consumption (Example of the Republic of Tajikistan). Transportation Research Procedia, vol. 61, 273-279, DOI:10.1016/j.trpro.2022.01.04 5

3.      Umirzokov, A.M., Mallaboev, U.M., Saidullozoda, S.S., Khabibullozoda, K.K. (2020) Classification of factors influencing the reliability of the driver-vehicle-road-environment (DVRE) system in the conditions of mountain quarries. IOP Conference Series: Materials Science and Engineering, vol. 817, no. 1, 012036, DOI:10.1088/1757-899X/817/1/012036

4.      Wang, J.J., Cao, X.D. (2021) System Analysis of Potential Accidents on Mountain Road Based on Rough Set and Quantitative Theory. KSCE Journal of Civil Engineering, vol. 25, 1031–1042, DOI:10.1007/s12205-021-0637-1

5.      Wang, X., Bo, W., Yang, W., Cu, S., Chu, P. (2020) Effect of High-Altitude Environment on Driving Safety: A Study on Drivers’ Mental Workload, Situation Awareness, and Driving Behaviour. Journal of Advanced Transportation, vol. 2020, 7283025, DOI:10.1155/2020/7283025

6.      Hu, X., Yang, S., Zhou, X., Zhang, G., Xie, B. (2014) A quantification prediction model of coalbed methane content and its application in Pannan coalfield, Southwest China. Journal of Natural Gas Science and Engineering, vol. 21, 900–906, DOI:10.1016/j.jngse.2014.10.017

7.      Palatini, P., Businaro, R., Berton, G., Rossi, G.P., Zanin, L., Bongiovì, S., Casiglia, E., Pessina, A.C., Dal Palù, C. (1989) Changes in arterial pressure and adrenergic activity during a holiday at a mountain at low altitude. Journal Ital Cardiol, vol. 19, no. 5, 456-61.

8.      Messerli, F.H., Williams, B., Ritz, E. (2007) Essential hypertension. Lancet, vol. 370, no. 9587, 591-603, DOI:10.1016/S0140-6736(07)61299-9

9.      Kearney, P.M., Whelton, M., Reynolds, K., Muntner, P., Wheiton, P.K., He, J. (2005) Global burden of hypertension: analysis of worldwide data. Lancet, vol. 365, no. 9455, 217-223, DOI:10.1016/S0140-6736(05)17741-1

10.   Zhao, C., Zhao, M., Liu, J., Zheng, C. (2012) Electroencephalogram and electro-cardiograph assessment of mental fatigue in a driving simulator. Accident Analysis and Prevention, vol. 45, 83–90, DOI:10.1016/j.aap.2011.11.019

11.   Horiuchi, M., Oda, S., Uno, T., Endo, J., Handa, Y., Fukuoka, Y. (2017) Effects of Short-Term Acclimatization at the Summit of Mt. Fuji (3776 m) on Sleep Efficacy, Cardiovascular Responses, and Ventilatory Responses. High Altitude Medicine and Biology, vol. 18, no. 2, 171–178, DOI:10.1089/ham.2016.0162

12.   Stutts, J.C., Wilkins, J.W., Osberg, J.S., Vaughn B.V. (2003) Driver risk factors for sleep-related crashes. Accident Analysis and Prevention, vol. 35, 321-331, DOI:10.1016/s0001-4575(02)00007-6

13.   Horne, J., Reyner, L. (2001) Sleep-related vehicle accidents: some guides for road safety policies. Transportation Research, Part F: Traffic Psychology and Behavior, vol. 4, no. 1, 63-74, DOI:10.1016/S1369-8478(01)00014-6

14.   Furman, G.D., Baharav, A., Cahan, C., Akselrod, S. (2008) Early detection of falling asleep at the wheel: A Heart Rate Variability approach. IEEE Computers in Cardiology, pp. 1109–1112, DOI:10.1109/CIC.2008.4749240

15.   Donald, А.D., Lee, J.D., Schwarz, C., Brown, T.L. (2018) A contextual and temporal algorithm for driver drowsiness detection. Accident Analysis and Prevention, vol. 113, 25–37, DOI:10.1016/j.aap.2018.01.005

16.   Gander, P., Hartley, L., Powell, D., Cabon, P., Hitchcock, E., Mills, A., Popkin, S. (2011) Fatigue risk management: organizational factors at the regulatory and industry/company level. Accident Analysis and Prevention, vol. 43, no. 2, 573–590, DOI:10.1016/j.aap.2009.11.007

17.   Fuller, R. (2005) Towards a general theory of driver behaviour. Accident Analysis and Prevention, vol. 37, no. 3, 461–472, DOI:10.1016/j.aap.2004.11.003

18.   Williamson, A., Lombardi, D.A., Folkard, S., Stutts, J., Courtney, T.K., Connor, J.L. (2011) The link between fatigue and safety. Accident Analysis and Prevention, vol. 43, no. 2, 498–515, DOI:10.1016/j.aap.2009.11.011

19.   Klauer, S., Dingus, T., Neale, V. (2006) The Impact of Driver Inattention on Near-Crash/Crash Risk: An Analysis Using the 100-Car Naturalistic Driving Study Data.

20.   Van Someren E.J. (2000) Circadian and sleep disturbances in the elderly. Experimental Gerontology, vol. 35, 1229-1237, DOI:10.1016/S0531-5565(00)00191-1

21.   Rimmö, P., Hakamies-Blomqvist, L. (2002) Older drivers’ aberrant drving behavior, impaired activity, and health reasons for self-imposed driving limitations. Transportation Research Part F Traffic Psychology and Behaviour, vol. 5, 47-62, DOI:10.1016/S1369-8478(02)00005-0

22.   Popkin, S.M., Morrow, S.L., Di Domenico, T., Howarth, H.D. (2008) Age is more than just a number: implications for an aging workforce in the US transportation sector. Applied Ergonomics, vol. 39, no. 5, 542-549, DOI:10.1016/j.apergo.2008.02.003

23.   Vuckovic, A., Radivojevic, V., Chen, A.C.N., Popovic, D. (2002) Automatic recognition of alertness and drowsiness from EEG by an artificial neural network. Medical Engineering and Physics, vol. 24, no. 5, 349–360, DOI:10.1016/S1350-4533(02)00030-9

24.   Garcés Correa, A., Orosco, L., Laciar, E. (2014) Automatic detection of drowsiness in EEG records based on multimodal analysis. Medical Engineering and Physics, vol. 36, no. 2, 244–249, DOI:10.1016/j.medengphy.2013.07.011

25.   Lajunen, T., Parker, D. (2001) Are aggressive people aggressive drivers? A study of the relationship between self-reported general aggressiveness, driver anger and aggressive driving. Accident Analysis and Prevention, vol. 33, 243-255, DOI:10.1016/s0001-4575(00)00039-7

26.   Liu, J., Ma, X., Zhang, Z., Guo, Z., Liu, B. (2016) Fatigue characteristics of driver in Qinghai-Tibet Plateau based on electrocardiogram analysis. Journal of Traffic and Transportation Engineering, vol. 16, 151-158, DOI:10.19818/j.cnki.1671-1637.2016.04.016

27.   Patel, M., Lal, S.K.L., Kavanagh, D., Rossiter, P. (2011) Applying neural network analysis on heart rate variability data to assess driver fatigue. Expert Systems with Applications, vol. 38, no. 6, 7235–7242, DOI:10.1016/j.eswa.2010.12.028

28.   Dahlen, E.R., Martin, R.C., Ragan, K., Kuhlman, M. (2005) Driving anger, sensation seeking, impulsiveness, and boredom proneness in the prediction of unsafe driving. Accident Analysis and Prevention, vol. 37, 341-348, DOI:10.1016/j.aap.2004.10.006

29.   Darwent, D., Dawson, D., Paterson, J.L., Roach, G.D., Ferguson, S.A. (2015) Managing fatigue: It really is about sleep. Accident Analysis and Prevention, vol. 82, 20-26, DOI:10.1016/j.aap.2015.05.009

30.   Factor, R., Mahalel, D., Yair G. (2008) Inter-group differences in road-traffic crash involvement. Accident Analysis and Prevention, vol. 40, 2000-2007, DOI:10.1016/j.aap.2008.08.022

31.   Smolensky, M.H., Milia, L.D., Ohayon, M.M., Philip, P. (2011) Sleep disorders, medical conditions, and road accident risk. Accident Analysis and Prevention, vol. 43, 533-548, DOI:10.1016/j.aap.2009.12.004

32.   Cartt, A.T., Rohrbaugh, J.W., Hammer, M.C., Fuller, S.Z. (2000) Factors associated with falling asleep at the wheel among long-distance truck drivers. Accident Analysis and Prevention, vol. 32, 493-504, DOI:10.1016/s0001-4575(99)00067-6

33.   Otmani, S., Pebatle, T., Roge, J., Muzet, A. (2005) Effect of driving duration and partial sleep deprivation on subsequent alertness and performance of car drivers. Physiology and Behavior, vol. 84, 715-724. DOI:10.1016/j.physbeh.2005.02.021

34.   Balkin, T.J., Horrey, W.J., Graeber, R.C., Czeilser, C.A., Dinges, D.F. (2011) The challenges and opportunities of technological approaches to fatigue management. Accident Analysis and Prevention, vol. 43, 565-572, DOI:10.1016/j.aap.2009.12.006

35.   Dahlgren, A., Kecklund, G., Åkerstedt, T. (2006) Overtime work and its effects on sleep, sleepiness, cortisol and blood pressure in an experimental study. Journal of Work Environment and Health, vol. 32, 318-327, DOI:10.5271/sjweh.1016

36.   Di Milia L. (2006) Shift work, sleepiness and long distance driving. Transportation Research Part F: Traffic Psychology and Behaviour, vol. 9, no. 4, 278-285, DOI:10.1016/j.trf.2006.01.006

37.   Folkard, S., Tucker, P. (2003) Shift work, safety and productivity. Occupational Medicine, vol. 53, 95-101, DOI:10.1093/occmed/kqg047

38.   Åkerstedt, T., Fredlund, P., Gillberg, M., Jansson, B. (2002) Work load and work hours in relation to disturbed sleep and fatigue in a large representative sample. Journal of Psychosomatic Research, vol. 53, no. 1, 585-588, DOI:10.1016/S0022-3999(02)00447-6