# Analytical Model for Information Flow Management in Intelligent Transport Systems
## 3 Theoretical Studies  
The ambiguity with regard to quantifying the effectiveness of various decision-making management models has been addressed in quite a number of studies, evidencing the need for the further search for more objective decision-making models what would meet the modern requirements to complex systems and their interconnections within road transport systems [32; 33; 34; 35]. The need for more in-depth, system-based theoretical research into the processes of complex transportation systems management is stated in all studies that we mentioned earlier. That said, these studies appear to pay little attention to the mathematical modeling of the processes under study and to present their outcomes as objectively verified mathematical algorithms [36; 37]. The algorithmization of processes is key to the transition to digital management models and further evolution of software products [38]. This prompts a conclusion that streamlined data (databases) is a prerequisite for implementing multi-level, hierarchical systems for evaluating the efficiency of road  
Figure 2: The example of an ITS-integrated complex system [21]. container transport, reinforcing the relevance of the systems approach and its underlying principles. It is through the systems approach that the need for the improved coherence of data on the system's heterogeneous properties can be validated, with the process of streamlining representing the \"methodology\" itself and determining the form and degree of the formalization of the outcomes. By revealing the essence of the systems approach and its use in various fields of knowledge, we help ourselves to answer questions as to what this given process is about, what algorithm it uses, and, most importantly, what element serves as the object of management. In our case, the object of management is the multitude of road container transport systems, as well as the processes responsible for their efficient management. The problem of systematizing the numerous indicators of road transportation performance is not new, and the need for specific solutions is only growing. Concluding what has been said above, there is a need for applied mathematical methods, especially those that use discrete mathematics and the theory of information interaction. These two fields of mathematics offer tools for formulating answers to the questions set above, guaranteeing the objectivity and the effectiveness of research. Let us use the theory of sets to show the essence and the algorithm of one of the main types of systematization--ordering, which is represented as a classification process within a particular field of knowledge. Having noted the importance of classification in creating and improving the thesaurus, let us formulate a mathematically precise and, consequently, exact statement of the problem of the performance of classification. The need for this is due to the presence of multiple objects, their characteristics, interaction processes, and, hence, the frequent use of ordering, on the one hand, and the requirements posed to the object of research, on the other. As this task will arise more often in the future, in each specific case, it will have its own specific content, which poses the need for an evaluation methodology that would be suitable for use in any information situation existing for a particular road container transport system. For the purposes of description, let us take a set \(X=\{X\}\), the elements of which can be of diverse nature within the limits of the problem being analyzed. These elements can be objects or properties, processes, or situations pertaining to system performance.