Specificity of multicriteria optimization of synchromodal cargo routing in the transport and terminal network

The aim of the work is a comparative analysis of methods for formalizing expert information when choosing a situational model for cargo delivery in interconnected terminal multimodal systems. The object of the study is the search for an optimal route in a synchromodal transport and terminal network, taking into account its actual organization and topology. The research methods include classical (linear programming, dynamic programming, traveling salesman method), heuristics (greedy algorithms, genetic algorithms, simulated annealing, shortest path heuristics), methods for formalizing expert assessment, and agent-based modeling. The paper considers the MultiTransGlobal program. A generalized table of parameters for formalizing expert information of nodal terminals of a multimodal network is proposed. The methods of linear and dynamic programming, the local search method, greedy and genetic algorithms, and simulated annealing are analyzed. This paper proposes a definition of synchromodal transportation (ST). These shipments represent a new stage in the development of multimodal transportation, which sets new requirements for modernizing the functionality of the STnetwork's digital logistics platform, specifically improving routes, expanding functionality for optimal real-time selection, and increasing computing power for database processing. It is shown that, given the multi-criteria nature of the ST-network's transport environment, optimal route selection is associated with the use of heuristic methods and the elimination of network parameters while maintaining the information content of significant indicators.