Probabilistic Modeling of Passengers and Carriers Preferences via Bicriterial Approach

Abstract

The problem of modeling preferences of passengers and carriers in conditions of changing the transport network structure is considered. The patterns of passengers and carriers preferences of are formulated on the basis of the bicriterial problem solution. The choice of a route by a random passenger (carrier) is considered as an optimization problem with a random objective function. Forecasting the distribution of traffic flows after changing the structure of the network is carried out within the framework of the Markov chain model. The correspondence matrix of the original network and patterns of passenger preferences are used to estimate the transition probabilities. © 2018