Document presents research on Safety Performance Indicators (SPIs) for continuous monitoring and evaluation of Automated Driving Systems safety. Leading indicators anticipate outcomes through metrics including time-based, distance-based, probability-based and deceleration-based measures; lagging indicators confirm outcomes after occurrence such as crashes and injuries. Analysis of 21 datasets identified SHRP2 as primary source with 1402 crashes and 5262 near-crashes. Performance evaluation using Distance Headway and Time-to-Collision achieved Area Under the Curve close to 0.9 distinguishing crashes and near-crashes from normal driving. Main bottleneck identified is data quality and scarcity of reliable safety event labels.
Report from the Pole Side Impact GTR informal group session held in Seoul, Republic of Korea.
Monash University Injury Research Institute Accident Research Centre crash data analysis.
Bundesanstalt für Straßenwesen (BaST) presentation of German In-Depth data analysis (GIDAS).
Paired comparisons of 29 km/h perpendicular and 32 km/h oblique pole side impact tests with WorldSID 50th percentile adult male ATDs.