Abstract:
The article proposes an enhancement of an information system for analyzing road traffic accident hotspots (RTAs), developed within the framework of a program-targeted approach and geoinformation technologies. The system's architecture is described, including spatial analysis algorithms, methods for identifying and consolidating clusters, as well as mechanisms for formalized accident representation. Special attention is given to the implementation of accident hotspot prioritization based on risk factors, recommended measures, and the expected mitigation effect. Verification was conducted using real-world urban accident data. The proposed solution demonstrates the stability of the implemented algorithms and their applicability in digital transformation tasks related to transport infrastructure. Key directions for future development are outlined, including the integration of fuzzy logic, digital twins, and artificial intelligence modules.
Keywords:information system, road traffic accidents, accident hotspots, spatial analysis, prioritization of measures, geoinformation technologies, digital transformation, fuzzy logic, digital twin, road safety.
