At the moment, one of the promising areas of development is the technology of connected vehicles (V2X), which allows vehicles to receive information about other vehicles, thereby increasing the safety and efficiency of traffic. Modern models of traffic flows based on the presence of a probabilistic component are divided into deterministic and stochastic. However, when describing the behavior of vehicles using only a stochastic or only a deterministic approach, problems with the correctness of the model may arise. In 2003, a research team consisting of A.P. Buslaev, V.M. Prikhodko, A.G. Tatashev and M.V. Yashina developed a deterministic-stochastic model of traffic flow and described the rules for it. The key feature of this model is that it takes into account the individual maneuver of the vehicle. This model allows you to create different types of car behavior on the road depending on the type of driver. Many cities around the world have already implemented intelligent transport systems (ITS) to combat the problem of traffic congestion. These systems allow traffic control in real time and adjust vehicle routes to select the most optimal solution. Thanks to ITS, it was possible to significantly reduce traffic congestion in cities. V2X (Vehicle-to-Everything) and Intelligent Transport Systems (ITS) are closely related to each other, as both technologies are aimed at improving the safety, efficiency, and sustainability of transport systems. V2X is a communication technology that allows cars to interact with other vehicles (V2V), infrastructure (V2I), pedestrians (V2P), and even the network (V2N). The main goals of V2X include improving road safety, optimizing traffic, and reducing accidents by exchanging information in real time. ITS is a set of systems and technologies that use data and communications to improve transport management, reduce congestion, manage parking, and improve overall safety. ITS includes traffic management systems, road condition monitoring, emergency services, and other aspects related to the efficiency of transport infrastructure. This study considered a one-way intersection with one lane. The intersection is described by Buslaev’s contour network. The software package allows choosing one of three modeling options - using S. Wolfram’s cellular automaton, a stochastic model, a deterministic-stochastic model, and a deterministic-stochastic model connected to an intelligent road. The rules for each of the models are described and a comparative analysis of the main characteristics of the traffic flow is carried out.