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Socio-Psychological and Criminological Characteristics of Persons Prone to Reckless Driving

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Networked Control Systems for Connected and Automated Vehicles (NN 2022)

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Abstract

In this Article the Author deals with the problems of deviant (or in some cases outright criminal) behavior of vehicle drivers, who grossly and cynically violate traffic safety rules. The analysis of the socio-psychological and criminological characteristics of drivers accused of committing transport crimes constitutes the purpose of this scientific work. The Author puts forward the working hypothesis that the drivers of road vehicles responsible for traffic accidents have distinctive ideological, subcultural, motivational and characterological (pathocharacterological) shortcomings/problems, as well clear signs of maladaptation and desocialization. The following tools and methods were used in this study—statistical, documentary, experimental psychological methods, sociological methods of questioning and personality analysis. The materials of specific criminal cases on transport crimes, acts of judicial psychiatric, narcological, psychological and technical examinations, as well as the results of surveys and interviews of the drivers themselves (the accused) were used as the empirical basis of this Article. It was concluded that the core pattern of deviant (aggressive, scatterbrained, provocative or criminally motivated) behavior of drivers is a heterogeneous group of personality disorders manifested as a destructive sociopathic complex. The most striking manifestations of such complex include the following—complete disregard for moral norms, low level of culture, emotional-volitional imbalance, hyper aggressiveness, impulsiveness, a tendency to addictive lifestyle, low empathy, and narcissism.

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Correspondence to Ivan Tretyakov .

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Tretyakov, I. (2023). Socio-Psychological and Criminological Characteristics of Persons Prone to Reckless Driving. In: Guda, A. (eds) Networked Control Systems for Connected and Automated Vehicles. NN 2022. Lecture Notes in Networks and Systems, vol 510. Springer, Cham. https://doi.org/10.1007/978-3-031-11051-1_133

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