Abstract

For the optimal organization of vehicular movement within the urban street-road infrastructure, meticulous consideration of the magnitude and characteristics of traffic flows, the judicious operational oversight thereof, and the mitigation of perilous circumstances at critical nodal points within the network, a comprehensive acknowledgment of a myriad of diverse factors is imperative. It is noteworthy that some of these factors exhibit an inherent unpredictability. Among these factors, the psycho-emotional states inherent to each participant in the vehicular and pedestrian milieu hold particular significance. These states intricately govern the behavioral paradigms of drivers and pedestrians alike, thereby exerting influence over their reaction times and proclivity towards committing errors. Furthermore, these psycho-emotional states contribute, in a broader context, to the cultivation of a socio-communicative ambiance within which cooperation ensues, and a multitude of individuals engage in reciprocal interactions. This phenomenon, in turn, establishes a foundation for the emergence of unforeseen internal influences. Ergo, the amalgamation of psycho-emotional states, their interconnections, external determinants and their respective magnitudes of influence, the mechanisms of control and surveillance, as well as the methodologies and algorithms facilitating intervention in the aforementioned processes should be conceptualized as components of a sophisticated multi-level system. This system, in its entirety, lends itself amenable to scrutiny through the prism of systematic analysis, modeling techniques, and the application of probabilistic methodologies. The proposed research provides a theoretical basis for taking into account the stochastic effects of the psycho-physiological state of drivers, pedestrians and other road users on safety parameters and other target functions of the sustainable development of city road networks. The issues are important for the strategic and operational control of the functioning of transport systems, the improvement of the means of researching transport operations, modeling processes, the intellectualization of transport and traffic management

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