PROBABILITY THEORY IN TRANSPORT MODELLING PROCESS

Abstract

Today’s world is accelerating, and the need to transport goods and people is growing enormously. This leads to the need to think about the possibilities of transport systems with special attention to transport processes. The article presents a basic view of the possibility of modeling transport, with an emphasis on the theoretical basis of a potential solution. Many of these external and internal forces produce fluctuations so complex that we are forced to classify them as random and express them by the theory of probability. Therefore, it is essential to develop a dynamic theory that can accurately predict the system's behavior under the influence of these fluctuating forces, and this prediction can be expressed probabilistically. This paper outlines the basics of probability features in transport models and provides an application example of a practical application of probabilistic theory in traffic modeling.