No abstract

The problem of effective development of transportation management methodology for low-density railway lines has important social-economic and industrial value for railway transport network functioning, provision of industry requirements and of population in transportations. The article proposes measure complex on the settlement of theoretical task row, directed on functioning efficiency rise of low-density lines and their transition from lossmaking category to nonlossmaking one as well as the variants of line transmission into profitable ones are worked out. Methodological bases of railway line functioning in the context of transportation management on low-density lines are presented. There is presented the mathematical setting of stable functioning and development of low-density lines. Target function parameters, standards and limitations are established. Integral mechanism of complex assessment of low-density lines is developed which allows to evaluate line work at various stages of functioning and at being embodied managing impacts aimed to traffic intensification. There are worked out the variants of line functioning at interaction of intensive, low-density and being projected lines. Conceptual model of low-density line effective functioning is presented. There is adapted the assessment mechanism for supposed costs and complex planned effect upon embodiment conditions at low-density lines.

Purpose: In the frames of ongoing digital transformation of transport complex in a whole and railway transport in particular, to give brief analytical characterization of being developed digital platforms and services. To consider promising technologies that are either at launch stage or on the way to the peak of overpriced expectations as to technological hype cycle of Gartner Research Company. To give an example of unified knowledge base as a basis of digital platform for multimodal transportation. Methods: Methods for visual structuring of information were used, in particular, mental maps (intellect-maps). To represent subject area ontology, a semantic network was used as a method for knowledge representation. Results: The pursued analysis of being developed and existing digital platforms and services has shown that besides data, there should lie at their basis more complex informational units — an active knowledge. This requires the method of data integration from disparate sources, their integration and circulation as within one industry as well as between various industries in order of knowledge generation and spread. In view of work specifics of transport various kinds, participating in multimodal transportations, the subject area, uniting all kinds of transport, should be chosen for this. The application of "cargo transportation" subject area has been justified by virtue of which, it is necessary to create management system of cargo flows on railway transport. Ontology fragment, describing "cargo transportation" domain for railway transport, has been worked out. Practical significance: The necessity of applying active knowledge to create autonomous intellectual productions on transport is shown. The use of knowledge bases, established on ontologies, will allow to raise the level of interaction of transport various kinds in "narrow" places during cargo transshipment as well as to expand the range of services, provided to customers.

The article discusses the issues of choosing a route and an option of cargo flows in multimodal connection in modern conditions. Taking into account active development of artificial intelligence and digital technologies in all types of production activities, it is proposed to use reinforcement learning algorithms to solve the problem. An analysis of the existing algorithms has been carried out, on the basis of which it was found that when choosing a route option for cargo in a multimodal connection, it would be useful to have a qualitative assessment of terminal states. To obtain such an estimate, the Q-learning algorithm was applied in the article, which showed sufficient convergence and efficiency.