DDADWS-10-12
DDAW Test Methodology: More representative, robust and consistent validation of performance
Source(s)
Date
12 Oct 2026
Status
Subject
Meeting(s)

Presentation on proposal 6 summarising enhancements to DDAW system test methodology. Proposes setting clearer requirements for participant selection, pre-conditioning, repeated testing of each participant, continuation of testing after the first true positive warning, and capture and treatment of near-crash events. Addresses existing limitations including narrow participant coverage, limited lighting conditions, testing that ends after the first true positive, and exclusion of false negatives during learning phases. Proposes mandatory methodology for representative evidence including minimum test runs per participant, broader demographic and physical characteristic representation, fatigued and rested participant preparation, near-crash event capture, and shorter learning periods. Notes the interconnectedness to other 01 series proposals including drowsiness threshold, false negative classification, operating conditions, and performance metrics.

UNECE server