Modeling of adaptive systems of urban traffic management

A priority direction in the development of the urban street and road network is the introduction of automated traffic control systems (ATCS). One of the key elements of ATCS is the efficient management of traffic lights. Under conditions of maximum traffic load on the roadway, it is possible to implement such control by introducing an adaptive traffic control system. The authors analyzed the existing means of traffic flow modeling. Based on the possibilities of using adaptive traffic control tools, it is proposed to use the Simulation of urban mobility (SUMO) complex as a modeling tool. Based on the results of the experiments, the main traffic flow diagrams were drawn. A script was written in Python to interpret the simulation results and visualize the main traffic flow diagrams. The results show that the use of adaptive traffic control even at individual intersections gives an increase in throughput across the entire road network by 20-30%. The proposed results can be used in modeling the functioning of the network of various types of networks using adaptive traffic lights.