Using Emerging and Established Technologies for Asset Management: A Guide

NCHRP 23-41 USING EMERGING AND ESTABLISHED TECHNOLOGIES FOR ASSET MANAGEMENT: A GUIDE Abstract The Moving Ahead for Progress in the 21st Century Act (MAP-21) and the Fixing America''s Surface Transportation Act (Fast Act) jump-started many agencies’ efforts to attain an inventory and assess the condition of their infrastructure assets and transportation data to meet federal regulations. The benefits of asset management are well documented in publications such as the AASHTO Transportation Asset Management (TAM) Guide. In addition to meeting federal regulations, state and local transportation agencies have a responsibility to manage their assets in the most efficient way to maximize asset service life. 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. Research is needed to understand how to leverage emerging technologies to capture, process, and manage asset inventory and condition data. 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.