Dynamic entropy model of transport flows

Abstract

In the process of planning transport systems, it is envisaged to determine the movement of vehicles between conditional areas of the city . In the process, a correspondence matrix is compiled. The dynamic entropy transport model makes it possible to determine the flows of movement between individual districts of the city, taking into account temporary changes in consumer preferences of individuals. The dynamic entropy transport model can be used to solve problems of transport planning in an urban environment and allows taking into account many independent as well as random factors taking into account changes in time. The traditional entropy transport model is based on the hypothesis that individuals in the equilibrium state of the system behave independently, however, in our opinion, this hypothesis somewhat simplifies the problem to a certain extent. And although it can be assumed that different individuals behave in the equilibrium state of the system to a certain extent, independently, at the same time individuals are influenced by external factors, and therefore the behavior of these individuals will depend on the influence of these external factors. The dynamic entropy transport model proposed in this paper makes it possible to take into account temporary changes in consumer preferences among buyers of transport services. The entropic dynamic transport model can be applied in forecasting the traffic of urban agglomerations.