In this paper a Stochastic Network Loading model that uses a dynamic approach to the simulation of transit services is presentd. The model allows to consider the within day time-dependencies of demand and supply services for high frequency transity systems; it takes also into account the presence of ITS (Intelligent Transport Systems) that reflects on regularity/punctuality of services and on user behaviour at stops due to the presence of information at stops. The paper includes the describton of the used supply network model, the specified path choice model the behavioural hypotheses on which it is based, as well as a Dynamic Network Loading (DNL) procedure and an application to a real size network.
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