Synchromodal freight transport is the idea of putting all real-time data together from several logistics parties under a central operator to see if container transport planning can be made 'smarter'. Aside from many practical challenges, like parties often not wanting to share data or decision power, this idea comes with mathematical challenges: real-time planning becomes a Time-stamp Stochastic Assignment Problem (TSAP), as current decisions may influence the decision space of the uncertain future. Optimisation methods will be developed and compared for some ideal net-centric cases and some 'selfish' agent-centric cases, so as to quantify the benefits of working together in synchromodality.

In this intermediary talk, the problem will be introduced more thoroughly, and early solution methods will be presented for some of the cases. Afterward, anyone with an interest or background in (stochastic) decision theory is invited to discuss how these early results may be improved or generalised.