This standard applies to road vehicles. It defines a minimum set of reasonable assumptions and foreseeable scenarios that shall be considered in the development of safety related models that are part of an automated driving system (ADS).
- Standard Committee
- VT/ITS - Intelligent Transportation Systems
- Joint Sponsors
-
VT/AVSC
C/SABSC
- Status
- Active Standard
- PAR Approval
- 2022-02-23
- Amendment
-
2846a-2025
- Board Approval
- 2022-03-24
- History
-
- Published:
- 2022-04-22
Additional Resources
- Downloads
- 9763462
Working Group Details
- Society
- IEEE Vehicular Technology Society
- Standard Committee
- VT/ITS - Intelligent Transportation Systems
- Working Group
- ADS Behavioral Safety - Automated Driving System Behavioral Safety
- IEEE Program Manager
- Michael Kipness
Contact Michael Kipness - Working Group Chair
- Kevin Gay
Other Activities From This Working Group
Current projects that have been authorized by the IEEE SA Standards Board to develop a standard.
No Active Projects
Standards approved by the IEEE SA Standards Board that are within the 10-year lifecycle.
2846a-2025
IEEE Approved Draft Standard for Assumptions in Safety-Related Models for Automated Driving Systems Amendment 1
This standard applies to road vehicles. It defines a minimum set of reasonable assumptions and foreseeable scenarios that shall be considered in the development of safety related models that are part of an automated driving system (ADS).
3321-2024
IEEE Recommended Practice for the Application of Assumptions on Reasonably Foreseeable Behavior of Other Road Users in Safety-Related Models
Guidelines for applying the assumptions defined in IEEE 2846™-2022 in safety-related models during the development, testing, and deployment of automated driving systems (ADS) are provided in this recommended practice. Approaches to identify values for the applicable IEEE 2846-2022 assumptions given the scenario context; approaches for identifying reasonably foreseeable values for these assumptions given the scenario context and for updating these assumptions across the temporal evolution of a scenario; and approaches to validate the selection of assumptions through an analysis of the output of the safety-related model, considering different kinds of performance objectives of interest, are specifically covered.
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