The aim of the project is to create behavioral, preventive and predictive traffic information by analyzing data obtained from different systems and sensors in the transportation network using big data processing methods, in order to produce solutions against the increasing traffic density in cities, and to create a transportation system that will provide incident, emergency and strategy management in line with this data. To develop a knowledge base and an interoperable platform. This platform aims to provide effective solutions to urban transportation problems with functions such as dynamic intersection management and traffic management from a single center.