Limitations of static network equilibrium models have led to numerous research efforts in predicting the temporal and spatial traffic conditions throughout road networks. Static models do not account for the dynamic nature of traffic. Accordingly, new approaches to depict these scenarios have been formulated, such as Dynamic User Optimal (DUO). This study extends DUO to DUO with recourse (DUOR) where a user can also alter their journey en-route dependent on the traffic conditions and the available information through ITS technology. This study proposes the modelling framework Dynamic User Optimal with Recourse using a Cell Transmission Model (DUOR-CTM). The model focuses on initially understanding whether a Dynamic User Optimal with Recourse (DUOR) solution arises and also determines the impact of information on the user optimal travel cost. The study presents the results of a sample network and highlights the need to account for information in a dynamic context.