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Driving Risk Assessment Under the Effect of Alcohol Through an Eye Tracking System in Virtual Reality

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 969))

Abstract

The issue of driving under the effect of alcohol is a matter of several studies in the field of road safety because today alcohol is widely diffused especially among very young people (age ranging between 18 and 25). Each year data provided by authorities are worrying, more than a third of the accidents registered in European countries are caused by alcohol. Italy is aligned with this trend; the ISS – National Institute of Health estimates that alcohol-related road accidents are equal to 30–35% of the total road accidents. Medical researches confirm that alcohol generates negative effects on driving, impairs the ability of perception, attention, processing and evaluation and it has negative effects on cognitive and motor skills. Therefore, the present research is developed in the field of a wider project research with the purpose to investigate and estimate the impact of alcohol on road safety to support awareness campaigns “Drink or Drive”. As demonstrated by findings of the previous study, alcohol has a significant impact on driving performances in terms of geometric, kinematic and dynamic measures. Trajectory, stopping and overtaking maneuvers were studied and a significant delay in reflexes, especially in stopping and overtaking maneuvers, that exposes drivers to high risk level, was calculated. In this research, the focus is on the drivers’ eye-movements that are recorded in the virtual reality driving experiment. To understand how much alcohol impairs attention and concentration in relation to the driving performances, these data are processed and two eye blinking measures (i.e. % blinking and blink rate) are analyzed A sample of 20 drivers were requested to drive the virtual reality-driving simulator situated in the LASS3 Virtual Reality Laboratory of University Research Centre for Road Safety. The route runs in extra-urban and urban areas, in order to study drivers’ behavior in different cases and subjecting drivers to different stimuli (i.e. pedestrian crossing, overtaking maneuver, sudden braking, etc.). The results are a comparison between the results of two conditions drunken and sober. Results show that alcohol affects attention and concentration increasing the absolute value of blinking and its rate. During the stopping and the overtaking maneuvers where driving measures show higher risk levels in drunkenness condition respect the to the sober one, eye measures show a reduction in blinking and frequency (in both conditions) on behalf of a more attention to the road.

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References

  1. Burian, S.E., Liguori, A., Robinson, J.H.: Effects of alcohol on risk-taking during simulated driving. Hum. Psychopharmacol., 141–150 (2002). https://doi.org/10.1002/hup.384

  2. European Trasport Safety Council and ANIA Fondazione per la Sicurezza Stradale, Comunicato stampa, Roma (2014)

    Google Scholar 

  3. Smith, R.C., Geller, E.S.: Field investigation of college student alcohol intoxication and return transportation from at-risk drinking locations. Transp. Res. Rec. J. Transp. Res. Board 2425, 67–73 (2014). https://doi.org/10.3141/2425-09

  4. Christoforou, Z.: A priori evaluation of policy measures against alcohol-impaired driving: French case study. Transp. Res. Record J. Transp. Res. Board, 97–103 (2016). https://doi.org/10.3141/2584-12

  5. Nuovo Codice della Strada - Decreto Legislativo 30 aprile 1992 n. 285

    Google Scholar 

  6. Gengo, F.M., Gabos, C., Straley, C., Manning, C.: The pharmacodynamics of ethanol: effects on performance and judgement. J. Clin. Pharmacol. 30, 748–754 (1990). https://doi.org/10.1002/j.1552-4604.1990.tb03638.x

    Article  Google Scholar 

  7. Irving, A., Jones, W.: Methods for testing impairment of driving due to drugs. Eur. J. Clin. Pharmacol. 43, 61–66 (1992). https://doi.org/10.1007/BF02280756

    Article  Google Scholar 

  8. West, R., Wilding, J., French, D., Kemp, R., Irving, A.: Effect of low and moderate doses of alcohol on driving hazard perception latency and driving speed. Addiction 88, 527–532 (1993). https://doi.org/10.1111/j.1360-0443.1993.tb02059.x

    Article  Google Scholar 

  9. Fromme, K., Katz, E., D’Amico, E.: Effects of alcohol intoxication on the perceived consequences of risk taking, Exp. Clin. Psychopharmacol. (1997)

    Google Scholar 

  10. Seitzinger, R., Fries, R., Qi, Y., Zhou, H.: A driving simulator study evaluating traffic sign mounting height for preventing wrong-way driving. In: Transportation Research Board 95th Annual Meeting, Washington DC, United States (2016)

    Google Scholar 

  11. Hongji, D., Zhao, X., Zhang, G., Rong, J.: Effect of different breath alcohol concentrations on driving performance in horizontal curves. Accid. Anal. Prev. (2014). https://doi.org/10.3141/2584-1

  12. Christoforou, Z., Karlaftis, M.G., Yannis, G.: Effects of alcohol on speeding and road positioning of young - drivers driving simulator study. Transp. Res. Record J. Transp. Res. Board 2281, 32–42 (2012). https://doi.org/10.3141/2281-05

    Article  Google Scholar 

  13. De Blasiis, M.R., Ferrante, C., Veraldi, V., Santilli, A.: Effects of alcohol on risk perception: a driving simulation study, Road Safety and Simulation RSS Proseedings, The Hague (2017)

    Google Scholar 

  14. Savage, S.W., Potter, D., Tatler, B.: Does preoccupation impair hazard perception? A simultaneous EEG and Eye tracking study. Transp. Res. Part F, 52–62 (2013). https://doi.org/10.1016/j.trf.2012.10.002

  15. Benedetto, S., Pedrotti, M., Minin, L., Baccino, T., Re, A., Montanari, R.: Driver workload and blink duration. Transp. Res. Part F 14, 199–208 (2011). https://doi.org/10.1016/j.trf.2010.12.001

    Article  Google Scholar 

  16. Stern, J.A., Boyer, D., Schroeder, D.: Blink rate: a possible measure of fatigue. Hum. Factors 36, 285–297 (1994)

    Article  Google Scholar 

  17. Wang, Y., Xin, M., Bai, H., Zhao, Y.: Can variations in visual behavior measures be good predictors of driver sleepiness? A real driving test study. Traffic Inj. Prev. (2017). https://doi.org/10.1080/15389588.2016.1203425

  18. Cinar, S., Acir, N.: Automatic removal of ocular artefacts in EEG signal by using independent component analysis and Chauvenet criterion. In: Medical Technologies National Conference, TIPTEKNO (2016)

    Google Scholar 

  19. Cuevas, A., Febrero, M., Fraiman, R.: An ANOVA test for functional data. Comput. Stat. Data Anal. (2004). https://doi.org/10.1016/j.csda.2003.10.021

  20. De Blasiis, M.R., Ferrante, C., Veraldi, V., Moschini, L.: Risk perception assessment using a driving simulator: a gender analysis. In: Road Safety and Simulation RSS Proseedings, The Hague (2017)

    Google Scholar 

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Correspondence to Maria Rosaria De Blasiis .

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De Blasiis, M.R., Ferrante, C., Veraldi, V. (2020). Driving Risk Assessment Under the Effect of Alcohol Through an Eye Tracking System in Virtual Reality. In: Arezes, P. (eds) Advances in Safety Management and Human Factors. AHFE 2019. Advances in Intelligent Systems and Computing, vol 969. Springer, Cham. https://doi.org/10.1007/978-3-030-20497-6_31

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  • DOI: https://doi.org/10.1007/978-3-030-20497-6_31

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-20496-9

  • Online ISBN: 978-3-030-20497-6

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