
Dear readers! You are holding the combined issue of the “LOGISTICS” journal, in which we have collected materials for July and August 2026. It brings together practice and theory, applied solutions and bold methodological explorations.
Dear readers! We are pleased to present you with the sixth issue of the journal for 2026, in which the theory and practice of logistics are explored in a variety of relevant areas. This issue is truly multifaceted, combining reflections on the essence of logistics processes with applied calculations and industry-specific cases.
Dear readers! This is the fifth issue of the LOGISTICS journal, dedicated to the current challenges of modern logistics.
Annotation. The study presents a hybrid artificial intelligence architecture for predicting the remaining travel time of freight trains, taking into account multiple factors. Experiments on a sample of 12 000 trains showed that the mean absolute error is 21–26% more accurate than existing methods.
Key words. Time prediction; artificial intelligence; hybrid models.