Raising Awareness of Artificial Intelligence for Transportation Systems Management and Operations
Technical Report Documentation Page
1. Report No. FHWA-HOP-19-052 |
2. Government Accession No. |
3. Recipient's Catalog No. |
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4. Title and Subtitle Raising Awareness of Artificial Intelligence for Transportation Systems Management and Operations |
5. Report Date December 2019 |
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6. Performing Organization Code | ||||||
7. Author(s) Douglas Gettman, Ph.D. (KH) |
8. Performing Organization Report No. |
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9. Performing Organization Name and Address Kimley-Horn and Associates under contract to Cambridge Systematics Inc. |
10. Work Unit No. (TRAIS) |
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11. Contract or Grant No. DTFH61-16-D-00051 |
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12. Sponsoring Agency Name and Address U.S. Department of Transportation |
13. Type of Report and Period Covered Final Report |
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14. Sponsoring Agency Code HOP |
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15. Supplementary Notes FHWA Task Order Contracting Officer's Representative (TOCOR): Jimmy Chu |
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16. Abstract This report introduces the fundamentals of Artificial Intelligence (AI) technologies and potential areas of AI applications in Transportation Management Center (TMC) operations; documents successful AI applications and lessons learned in TMC operations; showcases TMCs using AI to improve their operations; and identifies needs for future studies on this topic. The report provides guidance to assist transportation agencies with better preparation for the potential impacts of AI on operational activities, resources, system needs, and decisionmaking. |
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17. Key Words Artificial Intelligence, Machine Learning, Transportation System Management and Operations, Neural Networks, Fuzzy Logic, Deep Learning, Video Analytics, Unmanned Aerial Systems, Automated Vehicles |
18. Distribution Statement No restrictions. |
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19. Security Classif. (of this report) Unclassified |
20. Security Classif. (of this page) Unclassified |
21. No of Pages 76 |
22. Price N/A |