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This study focuses on the analysis and integration of information systems in traffic and transport management, emphasizing their contribution to road infrastructure planning, performance assessment and design optimization. It examines the role of modern technologies, including the Highway Performance Monitoring System (HPMS), Geographic Information Systems (GIS), GPS and Intelligent Transportation Systems (ITS), in collecting, processing and managing transport-related data. Particular attention is given to the role of network operators and traffic management centres in monitoring traffic flows, coordinating operations and supporting informed decision-making. The research adopts a combined theoretical and practical approach, based on a review of relevant literature, the examination of traffic management practices and the statistical analysis of road performance indicators. Using the HPMS framework, it investigates the relationships between key variables, including traffic volume, road geometry, climatic conditions, pavement deterioration, average speed and maintenance costs. Correlation analysis is applied to identify the factors that influence road performance and to assess their implications for infrastructure design and maintenance planning. The findings highlight the importance of integrating information systems and statistical analysis in achieving more efficient and sustainable road network management. Understanding the relationship between traffic characteristics, environmental conditions and infrastructure performance provides a valuable basis for optimizing maintenance costs, improving road safety and prioritizing infrastructure interventions. The study underlines the potential of data-driven decision-making to strengthen transport system performance and support the long-term development of road infrastructure.
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Fatma Merxhani (2026) studied this question.
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