Waymo's Fatigue Risk Management Framework: Prevention, Monitoring, and Mitigation of Fatigue-Induced Risks while Testing Automated Driving Systems
Favaro, Francesca, Hutchings, Keith, Nemec, Philip, Cavalcante, Leticia, Victor, Trent
–arXiv.org Artificial Intelligence
This report presents Waymo's proposal for a systematic fatigue risk management framework that addresses prevention, monitoring, and mitigation of fatigue-induced risks during on-road testing of ADS technology. The proposed framework remains flexible to incorporate continuous improvements, and was informed by state of the art practices, research, learnings, and experience (both internal and external to Waymo). Fatigue is a recognized contributory factor in a substantial fraction of on-road crashes involving human drivers, and mitigation of fatigue-induced risks is still an open concern researched world-wide. While the proposed framework was specifically designed in relation to on-road testing of SAE Level 4 ADS technology, it has implications and applicability to lower levels of automation as well.
arXiv.org Artificial Intelligence
Aug-26-2022
- Country:
- North America
- United States
- District of Columbia > Washington (0.14)
- Virginia (0.04)
- Arizona (0.04)
- New York > New York County
- New York City (0.04)
- Massachusetts > Middlesex County
- Cambridge (0.04)
- Connecticut > New London County
- Groton (0.04)
- California > Los Angeles County
- Los Angeles (0.14)
- Canada > Ontario
- National Capital Region > Ottawa (0.14)
- United States
- Europe
- United Kingdom (0.04)
- Switzerland (0.04)
- France (0.04)
- Belgium > Brussels-Capital Region
- Brussels (0.04)
- North America
- Genre:
- Research Report (1.00)
- Industry:
- Technology: