Simulation of traffic flow control using S-­hypernetwork

Abstract

The problem of the influence of the network capacity of the introduction of one-way traffic on certain sections of the streets is considered. The possibility of using simulation modeling to determine the rules for managing the flow of cars in the metropolis is offered. The construction of the simulation model is based on a non-stationary s-hypernetwork, which makes it possible to adequately reflect the flow of cars on city streets. The main indicator of street congestion is the average speed of vehicles, which has been decreasing sharply over the years. Moreover, this problem began to affect not only large cities, but also smaller ones. The increasing congestion of vehicles on the city’s road network not only increases costs due to lost time, but also increases the likelihood of accidents and negatively affects the environment and people’s quality of life. Management of traffic flows of road transport networks is closely related to their carrying capacity. For the most effective operation of the network, it is necessary to ensure the possibility of passing through it the maximum flow. Since the transport infrastructure of the metropolis is a complex hierarchical non-stationary system of the network structure, the selected theory allows to simulate transport networks close to reality and to solve a number of tasks related to them, such as: modeling of traffic flows of the city’s road transport network; management of transport systems; optimal placement of service points, etc. It is also worth noting that when building the model, it is necessary to take into account not only the urban planning factors of the road and transport network, but also the behavior of the flows and the characteristics of the types of vehicles that make them up. For example, the introduction of one-way traffic can both increase and decrease the carrying capacity of a section of the road network, depending on the flow structure of a given area of the city. Thus, the simulation model will allow to calculate the optimal orientation of the traffic on the streets of the city.