Abstract: The traffic safety is based not only on a driver's skills and profesionally important qualities but also their behavior and self-esteem. This article is devoted to the research of the self-concept of a driver. The subject of the research is the images of real self and ideal self. The author of the article sets the following tasks in her research: to analyse and compare real self and ideal self images of a driver, and to define components thereof. The research methods include survey, modified version of Thomas Kuhn's drawing test, and semantic differential developed especially for this research. The result of the research is the author's comparison of drivers' actual concepts and their ideal concepts. The author also outlines ways to eliminate such discrepancies. In particular, the author emphasizes the need to undertake measures aimed at increasing the proficiency level of drivers and developing their psychological competence in self-regulation, coping with stress and tolerance towards others. 

Abstract: This article is devoted to the development of a conceptual and empirically grounded technology to evaluate and forecast professional reliability of drivers. The rationale of this topic is conditioned by the growing number of vehicles and increasing need of the society in professional drivers as well as the need to create accurate and validate evaluation tools for drivers and factors influencing efficiency of their activity. The authors bring about such goals as systematization of current researches devoted to drivers and driving; and development of a psychodiagnostic model for evaluating driver's professional reliability. The experimental research aimed at achieving the aforesaid objectives consisted of two stages. At the first stage the authors selected research parameters, prepared experimental tools and outlined the general plan of the experiment. At the second stage which is going on now the authors create experimential conditions for defining parameters of driver's reliability, collect statistical data to determine different parameters recorded in the course of the experiment and test the technology being developed. Expected results of the research can be used to increase road safety, train drivers at driving schools, increase economic efficiency of auto transport companies, and can be also used by drivers themselves to assess their own level of competence. Implementation of the hardware and software system based on this technology would increase reliability of the human factor and reduce risks of errors.