Traffic Patern Prediction System

Before :

Optimizing traffic accident preparation and prevention has always been a priority for Transport Canada. Historically, officers have relied on their observations and regional data to manage accidents. However, these decisions have been somewhat subjective, and the outcomes were unpredictable.

After :

The AI traffic accident prediction system utilizes merged regional data to create a comprehensive big data lake for holistic accident analysis. This system empowers Transport Canada officers to make data-driven decisions by predicting accidents through the analysis of multiple factors on the road. Implementing this prediction system not only enables more accurate predictions but also allows Transport Canada to develop a traffic management strategy that is both precise and transparent.