AVSC Best Practice for Metrics and Methods for Assessing Safety Performance of Automated Driving Systems (ADS)
AVSC00006202103
03/25/2021
- Content
This AVSC Best Practice for Metrics and Methods for Assessing Safety Performance of Automated Driving Systems (ADS) (AVSC00006202103) recommends a set of metrics that may be used to assess ADS safety performance of the dynamic driving task (DDT). These metrics and methods are principally designed to provide evidence of safety performance for a manufacturer’s decision to deploy (and monitor) fleet-operated/managed SAE level 4 and 5 ADS-dedicated vehicles (ride-hailing or product delivery).
This document lays out a performance-based, technology-neutral approach for measuring and analyzing safety performance. It supports long-term, socially-important safety goals (like reducing crashes). ADS safety performance metrics in this document support system-level analyses, i.e. they are practical to implement for any system regardless of architecture. The best practice provides:
- Metrics to Support ADS Safety
- Recommended Safety Outcomes
- Recommended Predictive Safety Metrics
- Methods for Assessing DDT Performance Metrics
The metrics and methods provided in this document are intended for use by the technical community (developers, manufacturers, testers, etc.) to aid in the safe development and deployment of ADS. They may also be useful to stakeholders who have interest in better understanding the safety posture of ADS deployments.
- Pages
- 40
- Citation
- SAE International Best Practice, AVSC Best Practice for Metrics and Methods for Assessing Safety Performance of Automated Driving Systems (ADS), SAE Standard AVSC00006202103, https://doi.org/10.4271/AVSC00006202103.