Evaluation and control of data relevance in information systems of the transport industry management

Abstract

Purpose. Analysis of data coming to the information systems (IS) of the transport area (TA) and development of proposals for verification of their relevance to ensure reliability and efficiency of management. Development of the evaluation and control method of data relevance in information systems of the TA. Methodology. Special and general methods of scientific knowledge are used: critical analysis to establish scenarios of the impact of data relevance on the level of effective interaction of the elements of the system and its management; content analysis for stratification of requirements for data from IS and management decisions at the stage of analysis; mathematical formalization for the development of the data evaluation method and control of their relevance, which is proposed as the mathematical base of the algorithm; method of sequential selection for automatic detection of functional dependence, which describes data with a smaller value of standard error. Findings. Proposals to ensure data relevance have been developed. Data and management decision stratification has been proposed which will allow avoiding common errors due to non-normalization of data presentation. The scenarios of the impact of data relevance on the level of effective interaction of the elements of the transport system and its management have been established. For permanent data control, an algorithm for detecting deviations in consecutive data sets, automatic analysis of specified deviations, and detection of univariate and multivariate nonlinear patterns that cause deviations has been proposed. In case of inconsistencies of data with the identified non-linear patterns, the information is checked by the method of evolutionary programming. The effectiveness of the proposed methods is demonstrated using the example of analysis of the cargo turnover of seaports whose trends are characterized by significant changes over time and across ports. These trends may even have opposite characteristics. Originality. The method of data evaluation and control of their relevance, which is based on the methods of evolutionary (“genetic”) programming, is developed. Practical value. Proposals for evaluation and control of data relevance in information systems of the TA will increase the efficiency of management activities.