We need better data if we want to answer these questions.
This week, for the first time ever, the National Highway Traffic Safety Administration released data on crashes involving cars equipped with advanced driver-assist systems and automated driving technology. A lot of headlines —focused on the number of Tesla vehicles that crashed, which is understandable because Tesla had a lot of crashes.
“From a researcher’s standpoint, it would, of course, be wonderful if this data set not only was more standardized but also more complete with fewer redactions,” said J. Christian Gerdes, professor of mechanical engineering at Stanford University and co-director of the Center for Automotive Research. “Practically speaking, however, that is asking a lot.”
Unlike most automakers, Tesla knows exactly which vehicles were using Autopilot at the time of a crash. Its vehicles have cellular and Wi-Fi connectivity that automatically report this information back to the manufacturer when a crash occurs. The majority of Tesla’s reports were sourced from telematics, whereas other companies only reported getting a handful of such reports.
“It would be very helpful to know how many of the Tesla accidents involved situations that would have been a collision regardless of the assistance system,” Gerdes said. Waymo, for example, said that one-third of its 60 reported crashes took place when the vehicle was in manual mode. NHTSA’s order requires companies to document crashes when ADAS and automated technologies were in use within 30 seconds of impact. A spokesperson for Waymo said the “crashes we reported in manual fit within the 30-second window of the reporting requirement.”
But that likely won’t stop many people from doing exactly that, especially with regard to a company as polarizing as Tesla. Within hours of the report’s release, Tesla critics were hosting Twitter Space discussions and live YouTube chats about what it means for Elon Musk’s long-delayed effort to develop autonomous vehicle technology.
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