Multi-agent system as a tool for transport logistics planning: technical status of vehicles in the russian federation

This article examines the importance of transport logistics in the Russian Federation. The authors assess the performance of transport logistics and its integral components. In the course of the research the Rosstat data and the LPI coefficient were employed in the statistical analysis. Factors that influence logistics performance were identified, including weather and road conditions, customs operations, and information support. What is more, the technical readiness and status of vehicles were examined with due respect to the logistics performance indicators that prove its efficiency. As a result, the authors suggest a method for managing transport and logistics based on a multi-agent system with predictive analytics and IoT devices that contribute to better management and forecasting in transport logistics.