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

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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

Article type: scientific article

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

For citation: Efremov S.B. The model of recognition of driving styles and classification of traffic interaction strategies. Sotsial'naya psikhologiya i obshchestvo = Social Psychology and Society, 2017. Vol. 8, no. 4, pp. 123–133. DOI: 10.17759/sps.2017080409. (In Russ., аbstr. in Engl.)

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

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