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The model of recognition of driving styles and classification of traffic interaction strategies 644
Efremov S.B. post graduate student of the Department of psychology of Management, Moscow State University of Psychology and Education, Moscow, Russia e-mail: 0971090@gmail.com
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”.
-
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.
-
Velikhov E.P., Chernavskii A.V. Intellektual’nye protsessy
i modelirovanie. [Intellectual processes and modeling]. Moscow: Nauka Publ.
1987. 397 p.
-
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).
-
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.
-
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.
-
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.
-
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.
-
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.
-
Osipov G.S. Lektsii po iskusstvennomu intellektu [lectures
on artificial intelligence]. Moscow: Krasand Publ, 2009. 272 p.
-
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).
-
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
-
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
-
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
-
Kohonen T. Self-organizing maps. Berlin: Springer-Verlag,
2001. 501 p. https://doi. org/10.1007/978-3-642-56927-2
-
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
-
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
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