Strategic Forecasting of Multimodal Container Traffic Basing on Transport and Economic Balance of the Russian Federation

Abstract International cargo containerization system continues progressive development supporting increase of multimodal transport traffic. Containerized commodity transportation schemes are highly efficient for majority transcontinental and long-distance deliveries optimizing costs, time quality operations basing on exact forecasting container turnover. Following these headline routes, research article represents actual methodology volumes in accordance with Big Data stated Transport Economic Balance the Russian Federation (TEB), as per spatial input-output predictions freight traffic between regions country by rail, road, inland water maritime types commodities. Expanding network is linked to core logistics centers (TLC), connected 12 hubs having strategic value economics. Represented algorithms consider base TLCs backbone subject commodities, growth production consumption, import export balance timelines 2024 2035. Methodology across based coefficients demand each category well modes schemes. Container forecast indicated scenarios TEB model reflect strategy optimization flows TLC network. These information models, due their complex structure rich semantics, more likely belong class models knowledge, than data, that requires further improvement methods using intelligent processing Knowledge-Based models.