Most driver-assist crashes involved Teslas, new data show. But questions abound
A Tesla crashed into a police vehicle, which in turn crashed into an ambulance, in Arizona’s Cochise County in 2020. But they took a step toward being able to do so Wednesday with the National Highway Traffic Safety Administration’s first report on crashes involving advanced driver assistance systems. The numbers are suggestive, with Tesla accounting for 70% of all crashes involving “Level 2” driving systems, which include adaptive cruise control plus automated lane-keeping and can encompass more advanced features, such as automatic lane changing. “Independent analysis of the data is key to identifying any safety gaps and potential remedies.” Last year’s crash-data reporting order marked NHTSA’s first attempt to fill a deep deficit in knowledge about the real-life safety implications of automated vehicle technology on public roads. Crash data collection systems in the U.S. are decades old, inconsistent, still paper-based at many police departments and utterly unequipped to determine the role automated systems play in preventing or causing crashes.
Is driver-assist technology making roads safer, or is it creating lazy drivers?
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