Transport And Communications 2022, 10(2):1-6 | DOI: 10.26552/tac.C.2022.2.1

A Review of Selected Factors Affecting Driver Distraction

Katarzyna Haberka1, Rafał Jurecki1
1 Kielce University of Technology, Al. Tysiąclecia Państwa Polskiego 7, 25-314 Kielce, Poland

Man is the most unreliable and at the same time the least understood element in the driver-vehicle-environment system. Many of the factors affecting the driver have been identified in detail. Taking into account the social and mental changes in societies, however, it turns out that what once could be considered harmful, today thanks to new solutions is acceptable. At the same time, due to the dynamics of technological development, new solutions continue to emerge, which, in a situation of improper use, may carry new, hitherto unrecognized dangers in traffic. Therefore, tests related to the determination of factors determining driver behavior are still described in the literature. They are made for different nations, ages and genders of drivers. This article reviews the basic selected factors affecting driver behavior. These factors can directly affect the risk of a traffic collision or accident. While driving, a driver is exposed to a number of stimuli that cause him to become distracted.

Keywords: safety, accidents, drivers’ distraction
JEL classification: R41

Received: November 21, 2022; Revised: November 21, 2022; Accepted: December 23, 2022; Prepublished online: December 30, 2022; Published: November 30, 2022  Show citation

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Haberka, K., & Jurecki, R. (2022). A Review of Selected Factors Affecting Driver Distraction. Transport And Communications, 10(2), 1-6. doi: 10.26552/tac.C.2022.2.1
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    References

    1. Komenda Główna Policji Biuro Ruchu Drogowego: Wypadki drogowe w Polsce w 2021 roku, Warszawa 2022
    2. Regan, M. A., Lee, J. D., & Young, K. (2008). Driver distraction: Theory, effects, and mitigation. CRC press. Go to original source...
    3. Dingus, T. A., Klauer, S. G., Neale, V. L., Petersen, A., Lee, S. E., Sudweeks, J., ... & Knipling, R. R. (2006). The 100-car naturalistic driving study, Phase II-results of the 100-car field experiment (No. DOT-HS-810-593). United States. De-partment of Transportation. National Highway Traffic Safety Administration. Go to original source...
    4. Kruszewski, M., & Nader, M. (2015). Projekt badań wpływu obciążenia poznawczego zadaniami dodatkowymi na prowadzenie pojazdu przez kierowcę. Logistyka, (4, CD 1), 519-525.
    5. Przybylska, K. (2022). Czynniki mające wpływ na spowodowanie niebezpieczeństwa w ruchu drogowym. Kortowski Przegląd Prawniczy, (3). Go to original source...
    6. Łuczak, A., & Zużewicz, K. (2006). Zmęczenie kierowców a bezpieczeństwo pracy. Bezpieczeństwo Pracy: nauka i praktyka, (4), 20-23.
    7. Tefft, B. C. (2016). Acute sleep deprivation and risk of motor vehicle crash involvement.
    8. Savaş, B. K., & Becerikli, Y. (2020). Real time driver fatigue detection system based on multi-task ConNN. Ieee Access, 8, 12491-12498. Go to original source...
    9. Corfitsen, M. T. (1993). Tiredness and visual reaction time among young male nighttime drivers: a roadside survey. Accident Analysis & Prevention, 26(5), 617-624. https://doi.org/10.1016/0001-4575(93)90032-R Go to original source...
    10. MacLean, A. W., Davies, D. R., & Thiele, K. (2003). The hazards and prevention of driving while sleepy. Sleep medicine reviews, 7(6), 507-521, https://doi.org/10.1016/S1087-0792(03)90004-9 Go to original source...
    11. Wang Q., Yang J., Ren M., and Zheng Y.:Driver fatigue detection: A survey, in Proc. 6th World Congr. Intell. Control Autom., pp. 8587-8591 2006 Go to original source...
    12. Firestone, R. T., Mihaere, K., & Gander, P. H. (2009). Obstructive sleep apnoea among professional taxi drivers: a pilot study. Accident Analysis & Prevention, 41(3), 552-556. Go to original source...
    13. Levitt, S. D., & Porter, J. (2001). How dangerous are drinking drivers?. Journal of political Economy, 109(6), 1198-1237. Go to original source...
    14. Horwood, L. J., & Fergusson, D. M. (2000). Drink driving and traffic accidents in young people. Accident Analysis & Prevention, 32(6), 805-814. https://doi.org/10.1016/S0001-4575(00)00005-1 Go to original source...
    15. Corfitsen, M. T. (1982). Increased viso-motoric reaction time of young tired drunk drivers. Forensic science inter-national, 20(2), 121-125. Go to original source...
    16. Fynbo, L., & Järvinen, M. (2011). 'The best drivers in the world': Drink-driving and risk assessment. The British Journal of Criminology, 51(5), 773-788. https://doi.org/10.1093/bjc/azr067 Go to original source...
    17. Baum, S. (2000). Drink driving as a social problem: com-paring the attitudes and knowledge of drink driving of-fenders and the general community. Accident analysis & prevention, 32(5), 689-694. https://doi.org/10.1016/S0001-4575(99)00106-2 Go to original source...
    18. Bingham, C. R., Elliott, M. R., & Shope, J. T. (2007). Social and behavioral characteristics of young adult drink/drivers adjusted for level of alcohol use. Alcoholism: Clinical and Experimental Research, 31(4), 655-664. https://doi.org/10.1111/j.1530-0277.2007.00350.x Go to original source...
    19. Augsburger, M., Donzé, N., Ménétrey, A., Brossard, C., Sporkert, F., Giroud, C., & Mangin, P. (2005). Concentra-tion of drugs in blood of suspected impaired drivers. Forensic science international, 153(1), 11-15. https://doi.org/10.1016/j.forsciint.2005.04.025 Go to original source...
    20. Fukuda, Y., Ando, S., & Saito, M. (2020). Risk awareness, medication adherence, and driving behavior as determined by the provision of drug information to patients. Patient education and counseling, 103(8), 1574-1580, https://doi.org/10.1016/j.pec.2020.02.037 Go to original source...
    21. Hingson, R. W., Heeren, T., & Edwards, E. M. (2008). Age at drinking onset, alcohol dependence, and their relation to drug use and dependence, driving under the influence of drugs, and motor-vehicle crash involvement because of drugs. Journal of Studies on Alcohol and Drugs, 69(2), 192-201. https://doi.org/10.15288/jsad.2008.69.192 Go to original source...
    22. Drabek M, Andrysz A. Wpływ zażywania marihuany i amfetaminy (oraz jej pochodnych) na prowadzenie pojazdów na podstawie wyników badań symulatorowych. Med Pr 2011;62(5):551-63.
    23. Walsh, J. M., Gier, J. J., Christopherson, A. S., & Verstraete, A. G. (2004). Drugs and driving. Traffic injury prevention, 5(3), 241-253. https://doi.org/10.1080/15389580490465292 Go to original source...
    24. Seppala, T., Linnoila, M., & Mattila, M. J. (1979). Drugs, alcohol and driving. Drugs, 17, 389-408. https://doi.org/10.2165/00003495-197917050-00008 Go to original source...
    25. Penning, R., Veldstra, J. L., Daamen, A. P., Olivier, B., & Verster, J. C. (2010). Drugs of abuse, driving and traffic safety. Current drug abuse reviews, 3(1), 23-32. Go to original source...
    26. Rauniar, R., Rawski, G., Yang, J., & Johnson, B. (2014). Technology acceptance model (TAM) and social media usage: an empirical study on Facebook. Journal of enterprise information management, 27(1), 6-30. Go to original source...
    27. Bian, Y., Zhang, X., Wu, Y., Zhao, X., Liu, H., & Su, Y. (2021). Influence of prompt timing and messages of an audio navigation system on driver behavior on an urban ex-pressway with five exits. Accident Analysis & Prevention, 157, 106155. Go to original source...
    28. Paefgen, J., Kehr, F., Zhai, Y., & Michahelles, F. (2012, December). Driving behavior analysis with smartphones: insights from a controlled field study. In Proceedings of the 11th International Conference on mobile and ubiquitous multimedia (pp. 1-8). Go to original source...
    29. Zhang, L., Cui, B., Yang, M., Guo, F., & Wang, J. (2019). Effect of using mobile phones on driver's control behavior based on naturalistic driving data. International journal of environmental research and public health, 16(8), 1464. Go to original source...
    30. Dozza M., Flannagan C.A., Sayer J.R.: Real-world e_ects of using a phone while driving on lateral and longitudinal control of vehicles. J. Safety Res. 2015, 55, 81-87 Go to original source...
    31. Haigney D.E.,Taylor R.G.,Westerman S.J.: Concurrent mobile (cellular) phone use and driving performance: Task demand characteristics and compensatory processes. Transp. Res. Part F Tra_c Psychol. Behav. 2000, 3,113-121. Go to original source...
    32. Caird J.K., Johnston K.A.,Willness C.R., Asbridge M.: The use of meta-analysis or research synthesis to combine driving simulation or naturalistic study results on driver distraction. J. Safety Res. 2014, 49, 91-96. Go to original source...
    33. Rakauskas M.E.,Gugerty L.J., Ward N.J.: Efects of natu-ralistic cell phone conversations on driving performance. J. Safety Res. 2004, 35, 453-464 Go to original source...
    34. Strayer D.L. Drews F.A., Johnston W.A.: Cell phone-induced failures of visual attention during simulated driving. J. Exp. Psychol. Appl. 2003, 9, 23-32. Go to original source...
    35. Strayer, D.L.; Johnston,W.A. Driven to distraction: Du-al-Task studies of simulated driving and conversingon a cellular telephone. Psychol. Sci. 2001, 12, 462-466 Go to original source...
    36. Drews, F.A.; Yazdani, H.; Godfrey, C.N.; Cooper, J.M.; Strayer, D.L. Text messaging during simulated driving. Hum. Factors 2009, 51, 762-770. Go to original source...
    37. Žuraulis, V., Nagurnas, S., Pečeliūnas, R., Pumputis, V., & Skačkauskas, P. (2018). The analysis of drivers' reaction time using cell phone in the case of vehicle stabilization task. International journal of occupational medicine and environmental health, 31(5), 1-16. Go to original source...
    38. Perlman, D., Samost, A., Domel, A. G., Mehler, B., Dobres, J., & Reimer, B. (2019). The relative impact of smartwatch and smartphone use while driving on workload, attention, and driving performance. Applied ergonomics, 75, 8-16. Go to original source...
    39. Babić, D., Prelčec, I., Babić, D., Boroša, V., & Fiolić, M. (2022). The Impact of Mobile Phone Use on Young Drivers' Driving Behaviour and Visual Scanning of the Environment. Promet-Traffic&Transportation, 34(3), 431-441. Go to original source...
    40. Bian, Y., Zhang, X., Wu, Y., Zhao, X., Liu, H., & Su, Y. (2021). Influence of prompt timing and messages of an audio navigation system on driver behavior on an urban ex-pressway with five exits. Accident Analysis & Prevention, 157, 106155 Go to original source...
    41. Jurecki, R. (2014). Badania czasu reakcji młodych kierowców w różnych warunkach pracy realizowane w symulatorze jazdy. Logistyka, (6), 5003-5014.
    42. Karageorghis, C. I., Kuan, G., Payre, W., Mouchlianitis, E., Howard, L. W., Reed, N., & Parkes, A. M. (2021). Psy-chological and psychophysiological effects of music inten-sity and lyrics on simulated urban driving. Transportation research part F: traffic psychology and behaviour, 81, 329-341. Go to original source...
    43. Brodsky, W., & Slor, Z. (2013). Background music as a risk factor for distraction among young-novice drivers. Accident Analysis & Prevention, 59, 382-393. https://doi.org/10.1016/j.aap.2013.06.022 Go to original source...
    44. Miao, L., Gu, Y., He, L., Wang, H., Schwebel, D. C., & Shen, Y. (2021). The influence of music tempo on mental load and hazard perception of novice drivers. Accident Analysis & Prevention, 157, 106168. https://doi.org/10.1016/j.aap.2021.106168 Go to original source...
    45. Babić, D., Babić, D., Sucha, M., Stanić, V., & Toman, M. (2021). The influence of music genres on the driving be-haviour of young drivers and their visual scanning of the environment. Transportation research part F: traffic psy-chology and behaviour, 81, 396-407. Go to original source...
    46. Zalesińska, M. (2013). Badania pilotażowe wpływu reklam elektronicznych na wydolność wzrokową kierowców w warunkach laboratoryjnych z wykorzystaniem symulatora pojazdu. Poznan University of Technology Academic Jour-nals. Electrical Engineering.
    47. Karageorghis, C. I., Payre, W., Howard, L. W., Kuan, G., Mouchlianitis, E., Reed, N., & Parkes, A. M. (2022). In-fluence of music on driver psychology and safety-relevant behaviours: a multi-study inductive content analy-sis. TheoreTical issues in ergonomics science, 23(6), 643-662. Go to original source...
    48. Theeuwes, J., Kramer, A. F., Hahn, S., & Irwin, D. E. (1998). Our eyes do not always go where we want them to go: Capture of the eyes by new objects. Psychological Sci-ence, 9(5), 379-385. Go to original source...
    49. Bendak, S., & Al-Saleh, K. (2010). The role of roadside advertising signs in distracting drivers. International Journal of Industrial Ergonomics, 40(3), 233-236. Go to original source...
    50. Gitelman, V., Zaidel, D., & Doveh, E. (2012, August). Influence of billboards on driving behaviour and road safety. In 18th international conference on traffic and transport psychology ICTTP, Groningen, The Netherlands.
    51. Megías, A., Di Stasi, L. L., Maldonado, A., Catena, A., & Cándido, A. (2014). Emotion-laden stimuli influence our reactions to traffic lights. Transportation research part F: traffic psychology and behaviour, 22, 96-103. Go to original source...
    52. Tarnowski, A., Gąsiorek, K., Olejniczak-Serowiec, A., Maliszewski, N., Tomczuk, P., Chrzanowicz, M., ... & Mackun, T. (2019). Projekt ROADVERT. Wpływ reklam na poziom bezpieczeństwa ruchu drogowego. Transport Miejski i Regionalny, (1), 26-31.
    53. Wu, Y., Zhao, Z., Wu, F., & Rong, J. (2022). Information Volume Threshold for Graphical Variable Message Signs Based on Drivers' Visual Cognition Behavior. Journal of Advanced Transportation, 2022.Volume 2022 | ArticleD 7693492 | https://doi.org/10.1155/2022/7693492 Go to original source...
    54. Ustawa z dnia 20 czerwca 1997 r. Prawo o ruchu drogowym: Warunki użytkowania pojazdów w ruchu drogowym
    55. Alosco, M. L., Spitznagel, M. B., Fischer, K. H., Miller, L. A., Pillai, V., Hughes, J., & Gunstad, J. (2012). Both texting and eating are associated with impaired simulated driving per-formance. Traffic injury prevention, 13(5), 468-475. Go to original source...
    56. Rektor, I., Brázdil, M., Nestrašil, I., Bareš, M., & Daniel, P. (2007). Modifications of cognitive and motor tasks affect the occurrence of event-related potentials in the human cor-tex. European Journal of Neuroscience, 26(5), 1371-1380. Go to original source...
    57. Mangiaracina, G., & Palumbo, L. (2007). Smoking while driving and its consequences on road safety. Annali di igiene: medicina preventiva e di comunita, 19(3), 253-267.
    58. Tokarczyk, E. (2011). Źródła stresu kierujących pojazdami w miejskim ruchu drogowym. Autobusy: technika, eksploat-acja, systemy transportowe, 12, 380-391.
    59. Snowden, R. J., Stimpson, N., & Ruddle, R. A. (1998). Speed perception fogs up as visibility drops. Nature, 392(6675), 450-450. Go to original source...
    60. Zaleski M. Pozyskiwanie, przetwarzanie i analiza danych w kontekście bezpieczeństwa drogowego.

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