Artificial Intelligence (AI) is an emerging topic of immediate interest for transportation agencies. While sometimes AI is typically discussed in the context of generative language models, it is important to define the use of AI within the state Department of Transportation (DOT) activities context.

NCHRP Project 23-12: Artificial Intelligence Opportunities for State and Local DOTs – A Research Roadmap produced the Web-Only Document 403, “Artificial Intelligence Opportunities for State and Local DOTs: A Research Roadmap”. The objective of the research was to develop a research roadmap that identifies and prioritizes research needs that will provide state and local DOTs with a better understanding of AI, what activities are suited for AI, and the potential ways AI could be applied.

The identification of successful case studies was a need identified under NCHRP Project 23-12. Similar research topics were also submitted by DOTs under NCHRP 20-24 submissions.

The objective of this research is to document AI implementation cases to help State DOTs understand the use of AI in transportation and to develop policies to maintain the public's trust while advancing other AI applications in transportation.

Tasks to accomplish the objective may include:

•                 Synthetize successful cases of AI implementation in transportation applications.

•                 Capture lessons learned from the AI implementations

•                 Develop recommendations for future research needs and ways to communicate the results to the public transparently.