Egge, M., Tate, S., Kahl, D., & Gonzalez, I. (2026). Artificial Intelligence and Its Role and Use Within State DOTs (Report No. FHWA/LA.26/722). Louisiana Transportation Research Center. https://rosap.ntl.bts.gov/view/dot/88882
Egge, Mark, Syndney Tate, Donner Kahl, and Isaac Gonzalez. Artificial Intelligence and Its Role and Use Within State DOTs. Report no. FHWA/LA.26/722. Louisiana Transportation Research Center, 2026. https://rosap.ntl.bts.gov/view/dot/88882.
Egge, Mark, et al. Artificial Intelligence and Its Role and Use Within State DOTs. Louisiana Transportation Research Center, 2026, Report no. FHWA/LA.26/722, ROSA P. https://rosap.ntl.bts.gov/view/dot/88882.
Artificial Intelligence (AI) is increasingly shaping the way state Departments of Transportation (DOTs) approach both research and daily operations. This powerful technology creates new opportunities for improving efficiency, supporting decision-making, and streamlining agency workflows, but it also presents new challenges, including concerns about data bias, accuracy, privacy, and reliability. This research addresses several questions frequently asked by DOT managers about AI: How is AI being applied by other transportation agencies? What policies may limit or facilitate AI adoption? What does AI adoption look like in practice?
The research team planned and executed this project in two phases. The project began with foundational research and a literature review, during which
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Egge, M., Tate, S., Kahl, D., & Gonzalez, I. (2026). Artificial Intelligence and Its Role and Use Within State DOTs (Report No. FHWA/LA.26/722). Louisiana Transportation Research Center. https://rosap.ntl.bts.gov/view/dot/88882
Egge, Mark, Syndney Tate, Donner Kahl, and Isaac Gonzalez. Artificial Intelligence and Its Role and Use Within State DOTs. Report no. FHWA/LA.26/722. Louisiana Transportation Research Center, 2026. https://rosap.ntl.bts.gov/view/dot/88882.
Egge, Mark, et al. Artificial Intelligence and Its Role and Use Within State DOTs. Louisiana Transportation Research Center, 2026, Report no. FHWA/LA.26/722, ROSA P. https://rosap.ntl.bts.gov/view/dot/88882.
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findings, journal articles, guidelines, recommendations, or other information authored or co-authored by
USDOT or funded partners. As a repository, ROSA P retains documents in their original published format to
ensure public access to scientific information.
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