IEEE 3321-2024

IEEE Std 2846™-2022 defines, for a set of initial scenarios, a minimum set of assumptions to be considered by safety-related models (SRMs) to represent the reasonably foreseeable behavior of other road users (ORUs). This recommended practice provides guidelines for using these assumptions in SRMs during development, testing, and deployment of automated driving systems (ADS). Specifically, it covers the following: a) Approaches to identify applicable IEEE Std 2846-2022 assumptions given the scenario context, such as scenario type, roadway information, and safety-relevant objects. b) Approaches for identifying reasonably foreseeable values for the assumptions given the scenario context [from a)] and for updating the assumptions across the temporal evolution of a scenario. c) Approaches to validate the selection of assumptions in [b)] through an analysis of the output of the SRM, considering different kinds of performance objectives of interest. This recommended practice provides a needed complement to the IEEE Std 2846-2022 standard, to aid its implementation by ADS developers and/or other industry stakeholders toward using SRMs for the evaluation of an ADS’s on-road driving behavior.



New IEEE Standard - Active. 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.