| Title | Raising Awareness of Artificial Intelligence for Transportation Systems Management and Operations |
|---|---|
| Record ID | 73567 |
| Personal Name Creator |
Gettman, Douglas |
| Personal Name Contributor |
Chu, Jimmy |
| Corporate Creator | United States. Department of Transportation. Federal Highway Administration. Office of Operations |
| Corporate Contributor |
Kimley-Horn and Associates, Inc. |
| Publisher | United States. Department of Transportation. Federal Highway Administration. Office of Operations |
| Publication Date | 20191201 |
| Language | English |
| 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. |
| Public Note | FHWA Task Order Contracting Officer's Representative (TOCOR): Jimmy Chu |
| Rosap ID | dot:44201 |
| Rosap URL | https://rosap.ntl.bts.gov/view/dot/44201 |
| TRT Terms | Artificial intelligence; Transportation system management; Transportation operations; Machine learning; Neural networks |
| General Subjects | Artificial Intelligence; Machine Learning; Transportation System Management and Operations; Neural Networks; Fuzzy Logic; Deep Learning; Video Analytics; Unmanned Aerial Systems; Automated Vehicles |
| Geographical Coverage |
United States |
| TRIS Online Accession No |
1731545 |
| Contract Number | DTFH61-16-D-00051 |
| Report Number | FHWA-HOP-19-052 |
| Resource type | Tech Report |
| URL | https://ntlrepository.blob.core.windows.net/lib/73000/73500/73567/FHWA-HOP-19-052.pdf |
| Format | |
| Database | NTL Digital Repository |