| Title | Beyond Traffic Signals: A Paradigm Shift Intersection Control for Autonomous Vehicles : [fact sheet] |
|---|---|
| Record ID | 65996 |
| Personal Name Contributor |
Yang, David |
| Corporate Creator | United States. Federal Highway Administration |
| Corporate Contributor |
Turner-Fairbank Highway Research Center |
| Publisher | United States. Federal Highway Administration |
| Publication Date | 20091101 |
| Language | English |
| Abstract | Traffic congestion costs the Nation billions of dollars each year in wasted fuel and lost productivity. Traditional traffic control systems cannot keep pace with this growing problem, but systems that work with self-driving vehicles may afford a more radical approach. "Intersection Control for Autonomous Vehicles," an Exploratory Advanced Research (EAR) Program project, is pursuing a new way to keep traffic moving. This project, awarded by the Federal Highway Administration (FHWA) in 2008, is being conducted at the University of Texas at Austin. |
| Rosap ID | dot:41719 |
| Rosap URL | https://rosap.ntl.bts.gov/view/dot/41719 |
| TRT Terms | Autonomous vehicles; Intersections; Traffic signal control systems |
| Geographical Coverage |
United States |
| Report Number | FHWA-HRT-10-023 |
| Resource type | Tech Report |
| URL | https://ntlrepository.blob.core.windows.net/lib/65000/65900/65996/FHWA-HRT-10-023.pdf |
| Alternative URL | https://www.fhwa.dot.gov/publications/research/ear/10023/index.cfm |
| Format | |
| Database | NTL Digital Repository |