In January, Waymo claimed its robotaxi hit a child at 6 mph, while a computer model suggested an attentive human driver would have struck the child at 14 mph, TechCrunch reported. The January incident highlights Waymo's strategy: simulating human driving to prove its autonomous systems are safer. Yet, human decision-making is complex and variable; any model remains an imperfect, potentially biased, benchmark. Companies like Waymo are now defining AV safety metrics through these human-like benchmarks, a move likely to accelerate public acceptance and regulatory approval, but one that may also obscure the full spectrum of real-world human driving nuances.
How Waymo's 'Reference Driver' Simulates Human Reactions
These details reveal Waymo's meticulous approach to modeling human physical limitations and reaction times. However, by focusing on such granular delays and specific cognitive responses, the model risks overlooking the adaptive cognitive strengths human drivers often exhibit in novel, complex situations.
Benchmarking Against Humans: A New Standard for Safety Claims
Waymo's new ReD model refines its strategy of using simulated comparisons to assert AV safety. This sophisticated tool reinforces the company's narrative of superior safety over human drivers, building on past claims like the January child-incident scenario. Waymo's consistent reliance on internal models, from that initial claim to the ReD model, marks a strategic pivot: simulated comparative performance is now the primary driver for public trust, eclipsing reliance on real-world incident data.
