Моделювання інформаційної архітектури та інформаційного забезпечення транспортних перевезень в умовах невизначеності

The article considers the content characteristics of the information architecture of transport logistics (IATL) as a means of orientation on websites using appropriate interfaces and dialog windows. The logistical and physical description of the information support of transport operations is given. The scheme of the IATL is proposed for complex transportations carried out in conditions of uncertainty of external environmental influences and risk. The IATL is built on a structural-functional organizational basis, which allows forming groups of information objects based on understanding of the ultimate needs, patterns of perception and features of transport logistics. A distinctive feature of the proposed scheme is the categorization of information architecture modules in a certain format and its adaptability to the external environment. The use of information in the proposed scheme highlights the following components: the presence of priorities in the application of input information and software and hardware, the location and ranking of auxiliary subsystems according to their importance in making decisions regarding transportation conditions, coordination of interactions, the presence of logical subordination relationships between the elements of the scheme, alternation and sequence of functional procedures, coordination of goals and interactions, timely transfer of information, development of methods for eliminating uncertainty. A logistic mathematical model of the information architecture of transport transportation is proposed, an information structure and a simulation model of management under uncertainty, which includes the relationships between goals, alternative means of achieving them and available resources. The use of basic theoretical principles and organizational and methodological provisions when creating blocks of information architecture provides the ability to adjust management decisions to increase the efficiency of transportation according to developed and agreed plans. The development of transport and logistics information architecture systems allows for a deeper understanding of the complex interactions of elements within the system, to assess the degree of influence of factors, and to identify bottlenecks. The scientific direction of this aspect includes methods of choice theory, expert systems, simulation modeling, Markov processes, dynamic programming, fuzzy logic game theory. All of them are related to multi-criteria assessments of the current situation and have elements of risk in achieving alternative options for managing transportation