Development of intelligent service system for multimodal transport management

Abstract

The main objective of this part of the research is to describe the development of a Smart-SDS for multimodal freight transport management. Components of decision-making processes are integrated into the Smart-SDS structures. Computerized decision support processes involve many different components of the infrastructure. The assessment of situations is based on the criteria and priorities applied in the practice of specialist experts. The conceptual models applied in a computer-based system must allow the representation of dynamically changing and complex processes. Logistics and transport management processes must be in line with the requirements and goals of the 2030 Strategy for Sustainable Development. The Sustainable Development Agenda’s goals (SDG) and targets are interrelated with all levels of policy implementation. This section describes the results of research related to the object—multimodal freight transportation. However, the data show that the conditions of the war (the brutal aggressive actions of Russia against Ukraine and the crimes against of humanity) are very serious, and that the military invasion severely violates the lives and rights of many people and is completely incompatible with the GSD. This unpredictable war, which began in February of 2022 and early in 2014, is affecting major changes in Europe and around the world. Developing a computer system to enable the operational management solutions becomes a daunting task. Decision support models can be developed under normal, well-established routine conditions. We understand that the concept of “logistics” originated from the regulation of hostilities, given the changes in this concept in the historical development of this type of science. However, the process of building a knowledge base (KB) becomes complex by creating rules for representation of activities describing formally—how to act quickly in unforeseen, extreme, asynchronous situations. The entire Smart-SDS system is integrated with the ICT infrastructure and with embedded systems. The development methodology of this type of Smart-SDS system (for multimodal transport management) combines modeling components, simulation models for subsystem behavior analysis and experimental studies with prototypical subsystems. Some of the results we get show outdated situation analysis. In war conditions, events and conditions can occur unpredictably, and forecasts become unpredictable. Once the environmental monitoring infrastructure is destroyed, the performance management system will not work. Rules that reflect fair operations and affect the environment in which transport should behave in unpredictable conditions will not work during the destruction of infrastructure in geographical areas. Risk assessment is possible, but there are no enough mathematical models to help in unpredictable situations. Under such contextual situations, the decision-making subsystems will not reflect real management and help in operative control of processes.