Day-to-day discrete-time traffic assignment model for transport networks affected by disruptive events

In this paper, a day-to-day discrete-time traffic assignment model is introduced to represent the evolution of users’ choices and their progressive adjustments towards new equilibria in transport networks in which new conditions occur. Specifically, the proposed model considers a proportional switch assignment process, in which every day the users decide whether to maintain the same path chosen the previous day or to switch it, not only on the basis of the congestion level experienced on the chosen routes but also according to the extent of topological similarity between the potential new paths and the one already used. In this paper, the potential of this model to analyse the performance degradation in a transport network affected by disruptive events is shown by reporting two simulation examples.