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Researchers from the Insurance Institute for Highway Safety (IIHS), in collaboration with academia, automated vehicle experts, and the insurance industry, have developed a set of best practices for evaluating highly automated vehicles. The recommendations, called the Retrospective Automated Vehicle Evaluation (RAVE) checklist, were created during a two-day working group meeting and are detailed in a new paper. This checklist is designed to promote rigorous scientific practices and aid in assessing the quality of studies on automated vehicles.
Key Highlights:
- RAVE checklist created to ensure quality evaluations of highly automated vehicles.
- Collaboration includes IIHS, academic institutions, and the automated vehicle and insurance industries.
- Checklist developed during a two-day working group meeting in January.
- Aims to improve scientific practices in the field of automated vehicle research.
- IIHS is dedicated to reducing deaths, injuries, and property damage from motor vehicle crashes through research and education.
- Highway Loss Data Institute (HLDI) supports the IIHS mission by studying insurance data related to vehicle ownership and operation.
As highly automated vehicles continue to operate in various locations without human drivers, researchers are keen to examine their real-world safety. The RAVE checklist serves as a guide for promoting good scientific practices and helps readers evaluate the quality of research in this emerging field.
The Insurance Institute for Highway Safety (IIHS) is a nonprofit organization focused on reducing motor vehicle-related deaths and injuries. The Highway Loss Data Institute (HLDI) supports this mission by analyzing insurance data related to vehicle losses and publishing results by vehicle make and model.
This collaboration marks a significant step toward ensuring that future studies on automated vehicles adhere to the highest scientific standards.
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