Innovative technologies in the formation of safe traffic behavior of drivers

Author:

Efremov S.B.1ORCID

Affiliation:

1. Moscow State University of Psychology and Education

Abstract

<p style="text-align: justify;">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 &mdash; 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.</p>

Publisher

Moscow State University of Psychology and Education

Subject

General Earth and Planetary Sciences,General Engineering,General Environmental Science

Reference40 articles.

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).

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3