Abstract:
The paper is devoted to mathematical modeling of indoor pedestrian flows. The model under consideration is an analogue of the CTM transport macromodel. The current work explores the possibility of identifying split factors that were previously considered a priori given. These coefficients denote the proportions in which a flow of people is divided when moving to other rooms from the current one. We propose an identification algorithm based on interval estimates of both forward and backward reachability sets. The algorithm is illustrated with a numerical example.
Key words:pedestrian flows, linear programming, reachability set, identefication of parameters, interval estimates.
