Increasing road safety is a critical mission for every DOT and local agency. However, with growing populations and expanding road networks, ensuring the safety of drivers, cyclists, and pedestrians is becoming increasingly complex. This webinar explores how AI is transforming road safety and asset management, moving us closer to achieving Vision Zero – eliminating all traffic fatalities and severe injuries.

Traditional, manual road inspections are costly, inefficient, and pose significant safety risks. View this on-demand recording where we demonstrate how AI-powered solutions, leveraging existing dash camera footage, provide real-time, actionable insights, enabling agencies to proactively address safety hazards before they lead to accidents.

We delve into the limitations of current inspection methods and how AI automates data collection and analysis, identifying critical road issues like missing signs, potholes, and malfunctioning streetlights within minutes. Discover how these insights integrate seamlessly into existing workflows, allowing for rapid remediation and improved resource allocation. You'll also learn how this technology is not only improving current road safety but also preparing infrastructure for the future of autonomous vehicles.

Specifically, viewers will learn:

• How AI automates road data collection and analysis to identify safety hazards in real time, leveraging dash camera footage to create a continuous, scalable monitoring system that replaces manual inspections.

• Integration of AI-powered insights into agency workflows to streamline remediation, optimize resources, and deliver cost-effective, faster, and more accurate road safety management.

• The role of AI-driven road monitoring is to support autonomous vehicle development by maintaining accurate, up-to-date road infrastructure data for safer, more reliable transportation systems.