A progressive traffic assignment procedure on networks affected by disruptive events

The purpose of this paper is to implement a dynamic model as a base for evaluating the resilience of a traffic network, capable of describing its evolution shortly after the occurrence of a disruptive event. First of all, a User-Equilibrium traffic assignment problem is solved in order to obtain an estimation of the system state before the disruption. Starting from the critical event, a Progressive Assignment procedure is performed in order to obtain reasonable traffic assignments on the network, taking into account the users' tolerance to increases in travel times as well as the inherent inertia of the system.