Main steps of transport data collection: planning, management, validation, analysis and dissemination. Main databases and microscopic data relevant to the study of transport problems. Types and properties of spatio-temporal data. Data models. Methods and tools for data processing, analysis, modeling and visualization. Geographic information systems: projection systems, concepts and integration. Spatial analysis methods applicable to transport data and relevant tools. New technologies of data collection in transport and opportunities of analysis. Data mining and machine learning methods. Econometric models.