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.
On 7 October 2015, the UNECE will hold its annual flagship ITS workshop in conjunction with the 22nd ITS World Congress in Bordeaux. The subject of the conference will be “ITS for Sustainable Mobility and the Mitigation of Climate Change”.
United Nations Economic Commission for Europe