The TITAN project uses AI deep learning and vision-based analytics to classify vehicles, estimate speeds, and track air pollution levels, creating actionable insights for smarter mobility systems.
The Challenge: Traffic is crippling Metro Manila, leaving air pollution 70% above safe thresholds while millions of vehicles flood the roads daily. Government agencies need intelligent, real-time tools to fix transport systems and protect public health.
In 2024, Metro Manila ranked as the 15th most congested city globally. Drivers currently spend an average of 27 minutes and 18 seconds to travel just 10 kilometers, moving at a median speed of only 22 km/h. While this marks a slight statistical improvement from 2023—when the city was deemed the world’s worst with an average travel time of 25 minutes and 30 seconds per 10km —the reality on the ground remains brutal.
Government agencies need intelligent, real-time tools to fix transport systems and protect public health.
The Solution: TITAN Vision Traffic is a second-prize winning AI monitoring system that uses deep learning and vision-based analytics to deliver actionable insights, even in poor visibility. TITAN automatically classifies vehicles, estimates speeds, and tracks air quality—providing the precise, real-time data you need for smarter mobility systems.