Modeling of Passenger Flows Analysis System of Low-carbon Transportation in a Smart City

The paper examines the impact of the increase in passenger traffic in public transport on environmental pollution, as well as the search for ways to reduce emissions of carbon-containing compounds caused by the growth of the planet’s population, the number of vehicles that transport them, and the amount of emissions that these vehicles generate. The object of research is the system of passenger transportation in a smart city. Through correlation-regression analysis of passenger flows in a regional city with a population of fewer than 1 million registered residents, the paper identifies a functional dependence between the volume of passenger transportation by public transport and the volume of carbon dioxide emissions into the atmospheric air from mobile sources of pollution, which include all types of automobile and electric transport. It was established that the optimization of the public transport network plays a decisive role in the implementation of low-carbon transportation. Conceptual provisions for the creation of an intelligent system for the organization of low-carbon passenger transportation in a smart city were proposed, which were displayed using activity, state, and deployment diagrams. The optimization of the routes of the public transport system is proposed to be implemented through the concept of adding a new passenger, supplementing the route, and adapting public transport networks to the needs of consumers and the demand for transport to achieve the goals of the concept of a smart city - reducing carbon dioxide emissions into the atmosphere. The scientific novelty of the proposed intelligent system concept consists of the use of an integrated approach to the optimization of vehicle routes in a smart city to reduce carbon dioxide emissions into the atmosphere.