Time To Steer (TTS)#
Description#
Please refer to the TTM.
Properties#
Run-time capability#
Yes
Target values#
0.47 s [Junietz2018a] (threshold for critical), 1 s [Huber2020] (ADF testing)
Subject type#
Optimal for road vehicles (automated and human), sub-optimal for VRUs
Scenario type#
Overlapping predicted trajectories for a significant time span in the scenario
Inputs#
Static/dynamic objects and their state (pose, shape, etc.) at time t, MM for maneuver ‘steer’
Output scale#
\(\{-\infty\} \cup [0,\infty]\), time (s), ratio scale
Reliability#
High, under the assumption that collisions can be reliably predicted
Validity#
High for two-actor scenes, medium for more actors when TTS is evaluated under a fixed perspective, but can be increased by aggregating over all actors as at least for one of them, the TTS will be valid
Sensitivity#
High for non-humans, as steering is often optimal for threat mitigation than braking [Adams1994]; medium for humans as steering maneuvers are seldomly preferred [Adams1994]
Specificity#
High under the assumption that the DMM has a low ratio of spurious collision among all predicted collision
Prediction model#
Time window#
unbound, but usefulness depends on DMM
Time mode#
linear time