USE OF INFORMATION TECHNOLOGIES FOR OPTIMIZING ROAD TRANSPORTATION WITHIN THE CITY TRANSPORT SYSTEM

Purpose. The sustainable development of cities is closely linked to solving a complex set of logistical challenges related to the organization of city freight transportation. One such challenge is the development of transportation routes based on the criteria of minimizing both logistics costs and the negative impact of freight transport. In this regard, the purpose of this study is to analyze mathematical methods for freight transport routing and the information systems required for their effective implementation in city transportation management. Methods. The research employs heuristic methods to determine optimal transportation routes based on the minimum distance criterion, as well as methods of analysis and expert evaluation to examine the key functionalities and application areas of information systems in city freight transportation. Results. The study analyzes the main mathematical methods used for routing freight transport and their application in organizing goods transportation within a city road network. In particular, it explores extensions of the classical vehicle routing problem (VRP) for two-echelon distribution systems and time constraint considerations. The application of these methods is feasible with the use of modern information systems for collecting traffic data and monitoring vehicle performance, enabling real-time route adjustments and order distribution among transport vehicles. The study also assesses the potential use of Google Maps with API for constructing a distance matrix for the traveling salesman problem (TSP), as well as the implementation of Python libraries SciPy and NetworkX, and the MS Excel Solver add-in for optimizing transportation routes. Additionally, an analysis of the functionalities of integrated transportation management systems (TMS) available in the Ukrainian market has been conducted. Scientific novelty. The results of the analysis of functionalities and application areas of modern information systems for city freight transportation provide a scientific and economic rationale for selecting software solutions to address real-time logistics challenges and enhance city logistics efficiency. Practical significance. The research findings can be used to organize and optimize freight transportation by road within city transport systems.