Abstract

Effective organization of intercity transportation largely depends on optimization of the operational search for cargo for the transit component of the route. Carriers have the opportunity to get additional income with minimal additional costs, and transport customers get the opportunity to transport at minimum tariffs. Information interaction systems of transport market participants are used for rapid search of goods and transport. Automation of the processes of information interaction of transport market participants will significantly increase the efficiency of such information systems [1, 2]. A two-level model of information interaction is proposed, which at the first level considers the interaction «carrier-customer», and at the second one operational interaction at the level «transport-cargo». This approach allows you to automate the formation of pairs not only taking into account the technological compatibility of the cargo (application for transportation) and the vehicle, but also taking into account such non-technological parameters as reliability, payment terms, the tax system used. Based on the proposed two-level model, a modified algorithm of the minimum concessions method is proposed. Preservation of stability of pairs when using this algorithm is justified. Based on formation of a data set of actions (decisions) of customer managers and carriers, it is possible to form neural networks that minimize routine actions in the interregional transportation market and increase efficiency of information interaction.

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