AIrbagged (AU)

School: HTL Spengergasse

According to the WHO, road accidents cause approximately 1.3 million deaths each year. In emergency situations like this, every second is crucial for first responders. However, for more than 15% of accidents the emergency calls are made more than five minutes after the accident. Roughly 10% of road fatalities are attributed to this delay. Additionally, the mile-long traffic jams resulting from these accidents are prone to notorious rear-end collisions and also pollute our environment with CO2.

Our solution:

Traffic cameras are extensively deployed on highways all around the world. Based on such video streams, our prototype-AI can assess the road risk, which helps operators take action before an accident happens. The system can be used globally by emergency responders to promptly respond to accidents, without the delay of emergency calls - hereby we can save tens of thousands of lives (SDG 11). Furthermore, we can proactively prevent traffic congestion by implementing dynamic speed limits or suggesting detours with digital displays on the road. This prevents congestion collisions and protects our environment (SDG 13). By leveraging the collected data, our AI can support future road construction by identifying road designs contributing to higher accident rates (SDG 9).

video: https://www.youtube.com/watch?v=XEaAWdEEXGk

Sustainable Development Goals:
SDG 9: Contributing to building safer infrastructure and roads in the future by detecting dangerous and inefficient infrastructure

SDG 11: Analysing efficient and safe road designs, preventing traffic jams, saving lives

SDG 13: Less traffic jams = less emissions