AI in Transportation: Data Collection for Asset Management

Join FHWA CLAS on May 21st at 2:00 PM (ET) for this month’s Innovation Exchange Webinar, exploring how data and artificial intelligence (AI) are transforming transportation asset management and infrastructure decision-making. In this session, participants will learn how transportation agencies are leveraging AI-powered data collection and analytics to improve asset condition assessment, streamline workflows, and support more accurate, data-driven decisions.
Speakers will discuss the foundational role of data in successful AI deployment, including considerations related to data quality, quantity, privacy, security, and ownership. The webinar will also highlight: Lessons learned from agencies currently deploying AI applications in transportation and asset management Real-world examples of AI-powered pavement condition assessment and enhanced infrastructure data collection How AI tools are reducing manual effort while improving the speed, accuracy, and consistency of asset inventories and condition evaluations Practical approaches for integrating AI into existing transportation asset management programs Strategies for scaling AI initiatives to improve system performance, maintenance planning, and operational efficiency.
