Algorithm for adjusting the number and class of passenger vehicles based on passenger traffic data

In the modern world, urban public transport plays an important social and economic role in large cities. High-quality provision of services and efficient operation of the route network contribute to increasing the transport mobility of citizens, reducing environmental pollution, increasing road safety and improving the spatial organization of the city, which positively affects the quality of life of the population in large cities.

The street and road network in Russian cities was not adapted for mass transportation during design and construction. As a result, the expansion of road lanes and the increase in the number of parking spaces have limited opportunities and do not allow to fully eliminate the negative consequences that arise during the growing number of cars. Optimization of the transport infrastructure for mass motorization will not eliminate the problem that has arisen due to the limited possibility of reconstructing the street and road network. As a result, the key solution for the development of the country's transport system is the adaptation of public transport to the needs of modern society.

The article considers the dependence of the class and quantity of public transport operating on the routes on the correspondence of passengers in one direction and in the other along the route of regular transportation. The purpose of this study was to improve the efficiency of passenger vehicles in large cities based on the analysis of passenger traffic.

An algorithm for adjusting the number and class of vehicles based on passenger traffic data has been developed. The algorithm makes it possible to identify the inefficient operation of existing timetables on the route, irrelevant flights for passengers, to determine the required class and number of vehicles for the provision of transport services, which, in turn, contributes to the effective functioning of the route network.

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