A transportation network is called synchromodal if the transportation of goods can be made via different means of transportation such as a barge or a train, and real-time information is used to update the flow of freights. The goal of synchromodality is to improve the overall performance of the network, although the meaning of "improve" and "performance" is instance-dependant, the constant feed of new information can be used to ensure that the plan being carried over at a given instant is still a good plan, or even a feasible one. Synchromodality is a transportation paradigm that has received relatively small OR attention when compared to other logistics paradigms, and is regarded as a challenging and computationally heavy topic.

In this work we explore and analyze the different modelling possibilities of this problem as well as the different objective functions based on performance indicators proposed in the literature (cost, environmental impact, service time, delivery reliability, flexibility, among others) and the robustness of the proposed solutions. Adittionally, modelling approaches are proposed to incentivize behavior of the network.