A real-time traffic safety visualization and management system using traffic data, social media data, weather data, and other similar data enable proactive decisions for reducing the number of traffic incidents or mitigating their severity. The system utilizes predictive algorithms in a hybrid framework to diagnose real-time traffic safety conditions. Meanwhile, Pro-active Traffic Management (PATM) Strategies are provided by the system for the predicted high-risk locations. Moreover, through the visualization and management system, various countermeasures are considered and tested for decision makers, such that one or more of the most effective countermeasures are recommended within a given area to improve traffic safety thereof.