System model of transportation infrastructure

Abstract

With the increasing complexity of modern large transportation systems, there is a growing need to integrate diverse transportation infrastructure components into a single model for their joint analysis and optimization. Hence, the paper describes representations of transportation infrastructure. The research aims to design a system model of the specified phenomenon, which would provide a comprehensive understanding of its determinants, i.e. interconnected objects, parameters, and events. The article proposes an original technique based on spatial and temporal data, as well as functional features of transportation infrastructure components. At the heart of the developed method lies a system stability index, a new measure reflecting the coherence and balance of transport network components at any given time. The work investigates the spatial and temporal interactions of transportation infrastructure objects and traffic flows. The authors implement the proposed model as part of a geographic information system on the example of Surgut and perform simulation experiments. The findings show the possible early detection of infrastructure degradation prior to major traffic congestion and disruptions. Thus, the designed model allows researchers to assess quantitatively the coherence level of the transportation infrastructure components, identify high traffic density areas, and evaluate measures to improve the state of the examined system.