Evasive acceleration quantifies driving risk as the minimum 2D constant relative acceleration needed to avoid collision and outperforms time-to-collision on warning timing, discrimination, and information retention across crash datasets.
In 2020 IEEE Intelligent Vehicles Symposium (IV), 1929–1934 (IEEE, 2020)
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Driving risk emerges from the required two-dimensional joint evasive acceleration
Evasive acceleration quantifies driving risk as the minimum 2D constant relative acceleration needed to avoid collision and outperforms time-to-collision on warning timing, discrimination, and information retention across crash datasets.