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. Down...