From Reactive to Proactive: How AI and Unified Data Can Transform Transportation Safety

For decades, transportation safety has largely operated in a reactive mode. Agencies identify dangerous intersections after fatalities occur, deploy mitigation measures only after patterns emerge, and allocate resources based on historical data rather than real-time conditions. While this approach has saved lives, it is increasingly inadequate for today’s rapid urbanization, changing mobility patterns, climate volatility, and growing public expectations for safer transportation systems. Download to learn more.