Transport issues in the development of the largest urban agglomerations are associated with commuting labor migrations. Pendulum labor and social migrations are currently one of the main factors affecting the street and road network of the city. The study is aimed at analyzing the migration traffic flows of the city of Belgorod and suburbanized suburban areas based on big data: information on the number and density of the living population depending on the development; the number and density of the working population; the number of low-rise, high-rise buildings and industrial zones, the distribution of jobs depending on the building and the distance from the city center. The study was carried out in a GIS system, taking into account the peculiarities of the networks of operators providing mobile radiotelephone communication services in order to be able to divide the study area of the city of Belgorod into the required sections. Information was used on the administrative boundaries of districts, transport zones, correspondence matrices, data on industrial zones, individual housing construction, low-rise, mid-rise and high-rise buildings in Belgorod. Studies have shown the maximum intensity of movement from four settlements to the city center. To optimize the route network, it is proposed: adjustment of main routes and construction of new public transport stops; introduction of supply routes that will cover remote areas; formation of transport hubs at the entrances to the city and on the territory of Belgorod in places of concentration of the main routes