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Artificial intelligence (AI) has revolutionized various areas in departments of transportation (DOTs), such as traffic management and optimization. Through predictive analytics and real-time data processing, AI systems show promise in alleviating congestion, reducing travel times, and enhancing overall safety by alerting drivers to potential hazards. AI-driven simulations are also used for testing and improving transportation systems, saving time and resources that would otherwise be needed for physical tests.

NCHRP Web-Only Document 403: Artificial Intelligence Opportunities for State and Local DOTs: A Research Roadmap, from TRB's National Cooperative Highway Research Program, details possible steps for state and local DOTs to adopt AI in their pipelines.

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Suggested Citation

National Academies of Sciences, Engineering, and Medicine. 2024. Artificial Intelligence Opportunities for State and Local DOTs: A Research Roadmap. Washington, DC: The National Academies Press. https://doi.org/10.17226/27865.

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Publication Info

242 pages |  8.5 x 11 |  DOI: https://doi.org/10.17226/27865
Chapters skim
Front Matter i-x
Summary 1-1
1 Introduction 2-7
2 Literature Review 8-17
3 Outreach Efforts 18-24
4 Research Roadmaps 25-32
5 Conclusion 33-34
Appendix A: Literature Review 35-107
Appendix B: Literature Survey of AI Tools 108-145
Appendix C: Synergy Analysis and Interview with DOTs 146-164
Appendix D: Workshop Report 165-188
Appendix E: Research Problem Statements 189-214
Appendix F: Implementation of Research Findings and Dissemination Plan 215-232

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