Using Artificial Intelligence and Graph Theory Algorithms to Regulate Vehicle Traffic

The fundamental issue of urban traffic is the time of vehicle travel along the chosen route. It is clear that this time should be minimized for each driver. In a large city, there may be more than a million such drivers. The basic element and at the same time the basic problem of traffic control in a metropolis is a single intersection. It is this object where city roads intersect that is both the main cause and source of traffic jams. Therefore, the first priority is to implement intelligent regulation of vehicle traffic through a single intersection. By organizing efficient traffic through such an object, we will achieve high traffic efficiency throughout the city. There is a whole range of approaches to solving the problem of traffic control through in-ter¬sections. An important direction is the use of computer modeling based on artificial intel-ligence (AI) methods. An intersection model and an AI-based algorithm for implementing the passage of cars through such an object are proposed, which allows optimizing traffic. The se-cond important aspect of optimizing the traffic process is proposed, which is based on mode-ling the urban transport network using an oriented nonplanar weighted multigraph. Graph theo-ry algorithms are used to optimize the passage of each vehicle along the selected route.