This guide provides an integrated methodology for assessing the safety risks of Level 4 (L4) automated driving systems (ADS) during dynamic operation. It provides an overall assessment framework, core indicators, quantitative calculation models, multi-factor coupling analysis methods, and dynamic risk-grading rules. Together with technical provisions for assessment tools, data quality, traceability, and reporting, this guide provides methods for risk identification, simulation assessment, closed proving ground testing, public road assessment, evidence fusion, and acceptance evaluation. Time to Collision (TTC) and Minimum Risk Condition (MRC) performance are used as core assessment elements. The assessment covers technical risk factors of L4 ADS, together with risks associated with traffic participants, natural and road environments, operational management, communication dependencies, and remote assistance, where applicable. This guide applies primarily to L4 ADS installed on road vehicles operating within a defined operational design domain (ODD). Standalone environmental risk-factor classification and the architecture of post-deployment monitoring systems are outside the scope of this guide, although environmental observations and post-deployment evidence may be used as assessment inputs.
- Standard Committee
- ITSS/SC - Standards Committee
- Status
- Active PAR
- PAR Approval
- 2026-09-25
Working Group Details
- Society
- Society
- IEEE Intelligent Transportation Systems Society
- Standard Committee
- ITSS/SC - Standards Committee
- Working Group
-
MSRADS - Methods of Safety Risk Assessment for Automated Driving Systems
- IEEE Program Manager
- Michael Kipness
Contact Michael Kipness - Working Group Chair
- Chen Wang
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