Innovative technologies in the formation of safe traffic behavior of drivers

39

Abstract

This article focuses on a review of various studies that examine the experience of using innovative technologies in shaping the safety traffic behaviour of drivers. It shows that innovative technologies are intensively used to solve the problem of reducing accidents on the roads and presents the data of psychological researches aimed at evaluation of their effectiveness. Particular attention is paid to the description and characteristics of speed control systems, means of preventing drunk driving (DUI — driving under influence), as well as the use of virtual reality applications to train key road users and develop their safe behavior skills. As examples, some researches are introduced which demonstrate practices for the implementation and use of immersive driver training. It is noted that the introduction and use of innovative technologies in the formation of safe traffic behaviour act as promising fields for the development of practices that make it possible to prevent the number of road accidents in future.

General Information

Keywords: prevention, learning, innovative technologies, traffic behaviour, safety behaviour, drivers

Journal rubric: Special (Branch) Psychology

Article type: review article

DOI: https://doi.org/10.17759/jmfp.2023120103

Received: 27.02.2023

Accepted:

For citation: Efremov S.B. Innovative technologies in the formation of safe traffic behavior of drivers [Elektronnyi resurs]. Sovremennaia zarubezhnaia psikhologiia = Journal of Modern Foreign Psychology, 2023. Vol. 12, no. 1, pp. 26–34. DOI: 10.17759/jmfp.2023120103. (In Russ., аbstr. in Engl.)

References

  1. Zinchenko Yu.P., Men'shikova G.Ya., Bayakovskii Yu.M., Chernorizov A.M., Voiskunskii A.E. Tekhnologii virtual'noi real'nosti: metodologicheskie aspekty, dostizheniya i perspektivy [Virtual Reality Technologies: Methodological Aspects, Achievements and Prospects] [Elektronnyi resurs]. Natsional'nyi psikhologicheskii zhurnal = National Psychological Journal, 2010, no. 2, pp. 64—71. URL: https://npsyj.ru/articles/article/3671/ (Accessed 20.03.2023). (In Russ.).
  2. Radianti J., Majchrzak T.A., Fromm J., Wohlgenannt I. A systematic review of immersive virtual reality applications for higher education: Design elements, lessons learned, and research agenda. Computers & Education, 2020. Vol. 147, article ID 103778, 29 p. DOI:org/10.1016/j.compedu.2019.103778
  3. Ribeiro P., Krause A.F., Meesters P. [et al.]. A VR Truck Docking Simulator Platform for Developing Personalized Driver Assistance. Applied Sciences, 2021. Vol. 11, no. 19, article ID 8911, 21 p. DOI:10.3390/app11198911
  4. Assailly J-P., Cestac J. Drunk driving prevention and cultural influences: the SAFE ROADS 4 YOUTH (SR4Y) project. Transactions on Transport Sciences, 2018. Vol. 9, no. 2, pp. 35—41. DOI:10.5507/tots.2018.010
  5. Benders J. VISTA-Towards Damage-Free and Time-Accurate Truck Docking [Elektronnyi resurs]. In VISTA. Gelderland, 2022. URL: https://vistaproject.eu/ (Accessed 20.03.2023).
  6. Bjerre B. Primary and secondary prevention of drink driving by the use of alcolock device and program: Swedish experiences. Accident Analysis and Prevention, 2005. Vol. 37, no. 6, pp. 1145—1152. DOI:10.1016/j.aap.2005.06.020
  7. Chen C.J., Toh S.C., Ismail W.M.W. Are learning styles relevant to virtual reality? Journal of research on technology in education, 2005. Vol. 38, no. 2, pp. 123—141. DOI:10.1080/15391523.2005.10782453
  8. Coelho J., Duarte C. The Contribution of Multimodal Adaptation Techniques to the GUIDE Interface [Elektronnyi resurs]. In Stephanidis C. (ed.), Proceedings of the 6th International Conference “Universal Access in Human-Computer Interaction: Design for All and elnclusion”: Orlando, FL, USA, July 9-14, 2011. Part I. Berlin/Heidelberg: Springer, 2011, pp. 337—346. URL: https://link.springer.com/chapter/10.1007/978-3-642-21672-5_37 (Accessed 20.03.2023).
  9. Maghelal P.K., Flores J.C., Ravindra L.S., Luximon G.A. Determinants of self-efficacy of driving behavior among young adults in the UAE: Impact of gender, culture, and varying environmental conditions in a simulated environment. Heliyon, 2023. Vol. 9(3), article ID E13933. 30 p. DOI:10.1016/j.heliyon.2023.e13993
  10. Mahmoud K., Harris I., Yassin H., Hurkxkens T.J., Matar O.K., Bhatia N., Kalkanis I. Does Immersive VR Increase Learning Gain When Compared to a Non-immersive VR Learning Experience? [Elektronnyi resurs]. In Goos G., Hartmanis J. (eds.), Proceedings of the 7th International Conference “Learning and Collaboration Technologies: Human and Technology Ecosystems”: Copenhagen, Denmark, July 19—24, 2020. Part II. Cham: Springer, 2020, pp. 480—498. URL: https://link.springer.com/chapter/10.1007/978-3-030-50506-6_33 (Accessed 20.03.2023).
  11. Halabi O., Fawal S., Almughani E., Al-Homsi L. Driver activity recognition in virtual reality driving simulation. In Institute of Electrical and Electronics Engineers (eds.), Proceedings of the 8th “International Conference on Information and Communication Systems (ICICS)” (Jordan University of Science and Technology, Irbid, Jordan, 4—6 April, 2017). Red Hook, NY: Curran Associates, 2017. 5 p. DOI:10.1109/IACS.2017.7921955
  12. Oh T., Xu Y., Li Z., Kim Z.L. Driving Risk Analysis Based on Driving Experience at Hook-Turn Intersection Using the Emerging Virtual Reality Technology. Journal of Advanced Transportation, 2022. Vol. 2022, article ID 8929826, 12 p. DOI:10.1155/2022/8929826
  13. Efremov S., Kochetova T. Neural network model for recognition and classification of types of interactions in road traffic. Transactions on Transport Sciences, 2022. Vol. 13, no. 1, pp. 38—44. DOI:10.5507/tots.2022.003
  14. Gräßler Ir., Taplick P. Supporting Creativity with Virtual Reality Technology. 22nd International Conference on Engineering Design: 5—8 AUGUST 2019, DELFT, THE NETHERLANDS. 2019. Vol. 1, pp. 2011—2020. DOI:10.1017/dsi.2019.207
  15. Bohbot V.D., Lerch J., Thorndycraft B., Iaria G., Zijdenbos A.P. Gray matter differences correlate with spontaneous strategies in a human virtual navigation task. Journal of Neuroscience, 2007. Vol. 27, no. 38, pp. 10078—10083. DOI:10.1523/JNEUROSCI.1763-07.2007
  16. Hettinger L.J., Riccio G.E. Visually Induced Motion Sickness in Virtual Environments. Presence Teleoperators and Virtual Environment, 1992. Vol. 1, no. 3, pp. 306—310. DOI:10.1162/pres.1992.1.3.306
  17. Wu W.H., Yan W.C., Kao H.Y., Wang W.Y., Wu Y.C.J. Integration of RPG use and ELC foundation to examine students’ learning for practice. Computers in Human Behavior, 2016. Vol. 55, part B, pp. 1179—1184. DOI:10.1016/j.chb.2014.10.023
  18. Van der Pas J.W.G.M., Kessels J., Veroude B.D.G., van Wee B. Intelligent speed assistance for serious speeders: The results of the Dutch Speedlock trial. Accident: Analysis and Prevention, 2014. Vol. 72, pp. 78—94. DOI:10.1016/j.aap.2014.05.031
  19. Kim N.G., Yoo C.K., Im J.J. A new rehabilitation training system for postural balance control using virtual reality technology. IEEE Transactions on Rehabilitation Engineering, 1999. Vol. 7, no 4, pp. 482—485. DOI:10.1109/86.808952
  20. Kolb A.Y., Kolb D.A. The Kolb Learning Style Inventory 4.0: A Comprehensive Guide to the Theory, Psychometrics, Research on Validity and Educational Applications [Elektronnyi resurs]. Experience Based Learning Systems, 2013. 234 p. URL: https://learningfromexperience.com/downloads/research-library/the-kolb-learning-style-inventory-4-0.pdf (Accessed 20.03.2023).
  21. Konak A., Clark T.K., Nasereddin M. Using Kolb’s Experiential Learning Cycle to improve student learning in virtual computer laboratories. Computers & Education, 2014. Vol. 72, pp. 11—22. DOI:10.1016/j.compedu.2013.10.013
  22. Lawson G., Salanitri D., Waterfield B. Future Directions for the Development of Virtual Reality within an Automotive Manufacturer. Applied Ergonomics, 2016. Vol. 53, part B, pp. 323—330. DOI:10.1016/j.apergo.2015.06.024
  23. Lotan T., Toledo T. In-Vehicle Data Recorder for Evaluation of Driving Behavior and Safety. Journal of the Transportation Research Board, 2006. Vol. 1953, no. 1, pp. 112—119. DOI:10.3141/1953-13
  24. Mayhew D., Simpson H. The safety value of driver education and training. Injury Prevention, 2002. Vol. 8, no. 2, pp. 3—7. DOI:10.1136/ip.8.suppl_2.ii3
  25. Balaguer J., Spiers H., Hassabis D., Summerfield C. Neural mechanisms of hierarchical planning in a virtual subway network. Neuron, 2018. Vol. 90, no. 4, pp. 893—903. DOI:org/10.1016/j.neuron.2016. 03.037
  26. Zinchenko Y.P., Kovalev A.I., Menshikova G.Ya., Shaigerova L.A. Postnonclassical methodology and application of virtual reality technologies in social research. Psychology in Russia: State of the Art, 2015. Vol. 8, no. 4, pp. 60—71. DOI:10.11621/pir.2015.0405
  27. Elphinston R.A., Vaezipour A., Fowler J.A., Russell T.G., Sterling M. Psychological therapy using virtual reality for treatment of driving phobia: a systematic review. Disability and Rehabilitation, 2022. Vol. 72, pp. 1—13. Online ahead of print. DOI:10.1080/09638288.2022.2069293
  28. Selivanov V.V., Selivanova L.N., Babieva N.S. Cognitive Processes and Personality Traits in Virtual Reality Educational and Training. Psychology in Russia: State of the Art, 2020. Vol. 13, no. 2, pp. 16—28. DOI:10.11621/pir.2020.0202
  29. Stringer R.J. Are Buzzed Drivers Really the Problem: A Quasi-Experimental Multilevel Assessment of the Involvement of Drivers with Low Blood Alcohol Levels in Fatal Crashes. Criminal Justice Policy Review, 2018. Vol. 29, no. 5, pp. 464—488. DOI:10.1177/0887403416637187
  30. Taheri S.M., Matsushita K., Sasaki M. Virtual Reality Driving Simulation for Measuring Driver Behavior and Characteristics. International Journal of Transportation Science and Technology, 2017. Vol. 7, no. 2, pp. 123—132. DOI:10.4236/jtts.2017.72009
  31. Menshikova G.Ya., Kovalev A.I., Klimova O.A., Barabanschikova V.V. The application of virtual reality technology to testing resistance to motion sickness. Psychology in Russia: State of the Art, 2017. Vol. 10, no. 3, pp. 151—163. DOI:10.11621/pir.2017.0310
  32. Green R.E., French J.F., Haberman P.W., Holland P.W. The effects of combining sanctions and rehabilitation for driving under the influence: An evaluation of the New Jersey Alcohol Countermeasures Program. Accident Analysis and Prevention, 1991. Vol. 23, no. 6, pp. 543—555. DOI:10.1016/0001-4575(91)90019-2
  33. Velev D., Zlateva P. Virtual reality challenges in education and training. International Journal of Learning and Teaching, 2017. Vol. 3, no. 1, pp. 33—37. DOI:10.18178/ijlt.3.1.33-37
  34. Piron L., Cenni F., Tonin P., Dam M. Virtual Reality as an assessment tool for arm motor deficits after brain lesions [Elektronnyi resurs]. In Westwood J.D., Hoffman H.M., Mogel G.T., Stredney D., Rob R.A. Medicine Meets Virtual Reality 2001, 2001. Vol. 81, pp. 386—392. (Studies in Health Technology and Informatics, vol. 81). URL: https://pubmed.ncbi.nlm.nih.gov/11317774/ (Accessed 20.03.2023).
  35. Matheus I., Carvalho M., Nardi A., Costa R. Virtual reality for driving phobia: cognitions and self-efficacy. Revista Psicologia, Saúde & Doenças, 2022. Vol. 23, no. 1, pp. 298—306. DOI:10.15309/22psd230128
  36. Podhorecka M., Szrajber R., Andrzejczak J., Lacko J., Lipinski P. Virtual reality-based cognitive stimulation using grydsen software as a means to prevent age-related cognitive-mobility disorders — a pilot observational study. Human Technology, 2021. Vol. 17, no. 3, pp. 321—335. DOI:10.14254/1795-6889.2021.17-3.7
  37. Jarmon L., Traphagan T., Mayrath M., Trivedi A. Virtual world teaching, experiential learning, and assessment: An interdisciplinary communication course in Second Life. Computers & Education, 2009. Vol. 53, no. 1, pp. 169—182. DOI:10.1016/j.compedu.2009.01.010
  38. Wiczorek R., Protzak J. Evaluation of an assistance system supporting older pedestrians’ road crossing in virtual reality and in a real-world field test. Frontiers in Psychology, 2022. Vol. 13, article ID 966096. 15 p. DOI:10.3389/fpsyg.2022.966096
  39. Wiederhold B.K. How virtual reality is changing the reality of aging. Cyberpsychology, Behavior and Social Networking, 2020. Vol. 23, no. 3, pp. 141—142. DOI:10.1089/cyber.2020.29176.bkw
  40. Zador P.L., Krawchuk S.A., Voas R.B. Alcohol-related relative risk of driver fatalities and driver involvement in fatal crashes in relation to driver age and gender: an update using 1996 data. Journal of Studies on Alcohol, 2000. Vol. 61, no. 3, pp. 387—395. DOI:10.15288/jsa.2000.61.387

Information About the Authors

Sergei B. Efremov, post graduate student of the Department of psychology of Management, Moscow State University of Psychology and Education, Moscow, Russia, ORCID: https://orcid.org/0000-0003-1216-3977, e-mail: 0971090@gmail.com

Metrics

Views

Total: 109
Previous month: 6
Current month: 6

Downloads

Total: 39
Previous month: 1
Current month: 1