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.
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.
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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