The aim of the project is to develop integrated software solutions to optimize urban and intercity traffic management and provide more reliable journeys. These solutions consist of software that performs critical functions such as recording and verifying GPS raw data, analyzing travel times and traffic, analyzing traffic flow and mobility, detecting congestion and dynamic queue profiles, and forward-looking traffic forecasts and incident detection. These software aim to provide a comprehensive transportation management system using big data and artificial intelligence techniques to manage the traffic network more efficiently, quickly detect abnormal situations and increase travel reliability.