Skip to Main Content

Social Psychology and Society
2017. Vol. 8, no. 4, 123–133
https://doi.org/10.17759/sps.2017080409
ISSN: 2221-1527 / 2311-7052 (online)

The model of recognition of driving styles and classification of traffic interaction strategies

 
Audio is AI-generated
615

PDF (RUS)
Online translation in english
GS
Information
in Google Scholar
Metrics

Abstract

In this paper, we propose the grounds for constructing a neural network model for recognizing the driving styles with the aim of classifying the types interaction strategies of drivers in road traffic. The purpose of this article is that the possible future design of systems for recognizing the driving styles based on the neural network. Our system is able to identify and classify strategies for interaction of drivers in traffic conditions, as well as to allocate traffic interaction strategies that can be correlated with “types of dangerous driving”.

General Information

Keywords: road environment, driving styles, road users’ strategies and communications, neural network modelling, self-organizing map (SOM)

Journal rubric: Empirical Research

OpenAlex citations: 3

OpenAlex topics: Technology and Human Factors in Education and Health, Advanced Scientific Research Methods, Engineering Technology and Methodologies

Information about the work in OpenAlex

Number of citations: 3

Topics

Technology and Human Factors in Education and Health

This cluster of papers explores the future of personalized medicine in healthcare, focusing on topics such as artificial intelligence, healthcare technology, medical innovation, ergonomics, biomedical signal analysis, digital health, cyber-physical systems, healthcare automation, and clinical decision support. The papers cover a wide range of interdisciplinary research related to advancing personalized medical treatments and technologies.

Number of works: 27101  |  Total number of citations: 82403

Topic detailsв OpenAlex

Advanced Scientific Research Methods

This cluster of papers covers a wide range of topics related to innovations in food technology and processing, including mathematical modeling of extraction and production processes, biotechnological aspects of food production, quality assessment, nutritional value, and process optimization. The papers explore various methods and techniques for improving the production, quality, and nutritional value of food products.

Number of works: 26556  |  Total number of citations: 128308

Topic detailsв OpenAlex

Engineering Technology and Methodologies

This cluster of papers focuses on the development, optimization, and control of Computer Numerical Control (CNC) systems in manufacturing processes. It encompasses topics such as machine tools, cutting processes, diagnostics and prediction of tool wear, surface quality improvement, impact of thermal loading, metrological assurance, and the integration of Industry 4.0 concepts in digital manufacturing.

Number of works: 87145  |  Total number of citations: 166679

Topic detailsв OpenAlex

Work details in OpenAlex

Article type: scientific article

DOI: https://doi.org/10.17759/sps.2017080409

Published

For citation: Efremov, S.B. (2017). The model of recognition of driving styles and classification of traffic interaction strategies. Social Psychology and Society, 8(4), 123–133. (In Russ.). https://doi.org/10.17759/sps.2017080409

© Efremov S.B., 2017

License: CC BY-NC 4.0

References

  1. Avtomaticheskoe porozhdenie gipotez v intellektual’nykh sistemakh. [Automatic generation of hypotheses in intelligent systems] E.S. Pankratova, V.K. Finn. (Eds) Moscow: Librokom Publ. 2009. 528 p.
  2. Velikhov E.P., Chernavskii A.V. Intellektual’nye protsessy i modelirovanie. [Intellectual processes and modeling]. Moscow: Nauka Publ. 1987. 397 p.
  3. V «opasnom vozhdenii» predlozhili propisat’ zloi umysel [Elektronnyi resurs] [In dangerous driving offered to prescribe an evil intent]. Izvestiya. 2016, Vyp. ot 31 marta. URL: http://izvestia.ru/news/608145 (Accessed: 10.10.2016).
  4. Efremova N.A. Inui T. Model’ zritel’noi kory golovnogo mozga dlya raspoznavaniya i klassifikatsii obrazov. [Model of the visual cortex of the brain for pattern recognition and classification]. Iskusstvennyi intellekt i prinyatie reshenii. [Artificial Intelligence and Decision Making], 2013. no 1. pp. 55—62.
  5. Kokoreva A.V. Gidrodinamicheskie modeli avtotransportnykh potokov. Avtoref. kand. fiz.-mat. Nauk. [Hydrodynamic models of motor transport flows Ph. D. (physico-mathematical) Thesis]. MGU imeni M.V. Lomonosova, 2008.
  6. Kochetova T.V. «Traffic Psychology»: ot fragmentarnykh issledovanii k kompleksnym resheniyam prikladnykh zadach transportnykh problem. [“Traffic Psychology”: from fragmentary studies to complex solutions of applied problems of transport problems]. Sotsial’naya psikhologiya i obshchestvo [Social Psychology and society], 2011, no. 2, pp. 89— 99.
  7. Kondrat’ev M.Yu., Kochetova T.V. «Traffic psychology»: ot prikladnykh issledovanii k metodologii kompleksnogo izucheniya sovremennoi dorozhno-transportnoi sredy [“Traffic psychology”: from applied research to the methodology of a comprehensive study of the modern road transport environment]. Sbornik materialov mezhdunarodnoi nauchno-prakticheskoi konferentsii (28—30 iyunya 2012 g). 2-e izd. ispr. i dop. [Proceeding of the international scientific-practical conference], Saint-Petersburg, 2012, pp. 119—122.
  8. Lobanova Yu.I. Stil’ vozhdeniya: opredelyayushchie faktory, kharakteristiki, napravleniya optimizatsii. [Driving style: determining factors, characteristics, directions of optimization]. Rossiiskii gumanitarnyi zhurnal. [Russian Humanitarian Journal], 2015. Vol. 4, no. 1, pp. 76—84.
  9. Osipov G.S. Lektsii po iskusstvennomu intellektu [lectures on artificial intelligence]. Moscow: Krasand Publ, 2009. 272 p.
  10. Petrov V.E. Psikhologicheskii analiz problemy opasnogo stilya upravleniya transportnym sredstvom [Elektronnyi resurs] [Psychological analysis of the problem of dangerous driving style]. Sovremennye nauchnye issledovaniya i innovatsii. [Modern scientific research and innovations], 2016, no. 8. URL: http://web.snauka.ru/ issues/2016/08/70377 (Accessed: 09.08.2016).
  11. Polikarpova M.S. Sootnoshenie ponyatii «agressivnoe» i «opasnoe» vozhdenie v sovremennoi otechestvennoi i zarubezhnoi psikhologii [Elektronnyi resurs] [The correlation between the concepts of “aggressive” and “dangerous” driving in modern domestic and foreign psychology]. Sovremennaya zarubezhnaya psikhologiya.[ Modern foreign psychology], 2017. Vol. 6, no. 1, pp. 44—52. doi:10.17759/jmfp.2017060106
  12. Efremova N., Asakura N., Inui T., Abdikeev N., Inferotemporal network model for 3d object recognition. The proceedings of the International Conference on Complex Medical Engineering (Harbin, May 22—25). Publ. IEEE/ICME, 2011, pp. 555—560. doi.10.1109/ ICCME.2011.5876803
  13. Fujita I. The inferior temporal cortex: architecture, computation, and representation. Journal of Neurocytology, 2002. Vol. 31(3—5), pp. 359—371. https://doi. org/10.1023/A:1024138413082
  14. Kohonen T. Self-organizing maps. Berlin: Springer-Verlag, 2001. 501 p. https://doi. org/10.1007/978-3-642-56927-2
  15. Riesenhuber M., Poggio T. Hierarchical models of object recognition in cortex. Nature Neuroscience, 1999. Vol. 2, pp. 1019—1025. https://doi.org/10.1038/14819
  16. Tokunaga K., Furukawa T. Modular network SOM. Neural Networks, 2009. Vol. 22, no. 1, pp. 82—90. https://doi.org/10.1016/j.neunet.2008.10.006

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, Russian Federation, ORCID: https://orcid.org/0000-0003-1216-3977, e-mail: 0971090@gmail.com

Metrics

 Web Views

Whole time: 2168
Previous month: 15
Current month: 0

 PDF Downloads

Whole time: 615
Previous month: 11
Current month: 0

 Total

Whole time: 2783
Previous month: 26
Current month: 0