A stochastic process approach for frequency-based transit assignment with strict capacity constraints
The present paper deals with Stochastic process (SP) models considered to the day-to-day dynamics of the transit demand-supply system, explicitly modelling passengers' information acquisition and decision processes. A Monte Carlo simulation based SP model that includes strict capacity constraints is treated. It uses micro-simulation to constrain passenger flows to capacities and obtain realistic cost estimates. Applications of the model and its comparison with the \textit{J. De Cea} and \textit{E. Fernandez} [Transp. Sci. 27, No. 2, 133--147 (1993; Zbl 0788.90030)] model are presented using a small network.
scientific article; zbMATH DE number 5565180