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This paper proposes a biologically inspired reinterpretation of surrogate safety measure thresholds using spiking neural networks, aligning with human braking behavior to bridge objective and subjective safety perception in automated driving.
This academic paper introduces an AI-enabled analytics framework using existing CCTV infrastructure to evaluate the impact of soft traffic interventions on vehicle speed and safety at urban intersections.