Emerging and current technologies, including field data collection tools and artificial intelligence, hold the promise of transforming data collection for transportation asset management (TAM). While these technologies have drastically improved the accessibility of, affordability of, and ability to collect high volumes of asset inventory data, it is still a challenge to turn data into actionable information that improves asset management life-cycle and decision-making processes. 

The objective of this research is to develop a guide to assist state departments of transportation in decision-making and implementation as they relate to emerging and established technologies used to capture and update changes to transportation assets.  

STATUS: Research in progress