The article presents a valuable concept seeking to solve the problem of demand uncertainty in intermodal transport. Regular traffic is quite important for moving containers, trailers and swap bodies. To keep regularity with uncertain demand means to have backlogs or empty space. Both of them are inefficient from an economical point of view. In practice, a day‐by‐day demand forecast is meaningful only for the next two or three days. This poses serious allotment management problems to freight forwarders and shippers since long‐term contract allotments need to be planned many months ahead. The article presents a stochastic dynamic programming model for a short‐term allotment planning a model that would be very valuable for implementing intermodal solutions. The presented model evaluates optimal cost policy based on the economic trade‐off between the cost of backlogged shipment and the cost of acquiring additional allotment.

In the world railways are organized in two ways. In one case, infrastructure management and organization of traffic and commercial activities are integrated at the level of one of the enterprise whereas in the other case the functions of the carrier and the manager of the infrastructure are separated. This article addresses approaches of different scientists and politicians on both forms. The analysis of the case of Lithuania has been carried out. The case of Lithuania is a typical one -historically the railways have had a monopoly with the infrastructure and transportation not separated. This article presents a critical view of theoretical pros and cons of both the models.