Autonomous Car Makers Dispute Insurance Study’s Low Estimate of Crashes
The study by the Insurance Institute for Highway Safety (IIHS), released on Thursday, analyzed 5,000 U.S. crashes and concluded that likely only those caused by driver perception errors and incapacitation could be prevented by self-driving cars.
The autonomous vehicle industry quickly responded that its cars were programmed to prevent a vastly higher number of potential crash causes, including more complex errors caused by drivers making inadequate or incorrect evasive maneuvers.
Taking those design choices into account, autonomous vehicles could avoid some 72% of crashes, said Partners for Automated Vehicle Education, a consortium of self-driving technology companies.
The group in a blog post on Thursday said it was “fundamentally speculative” to determine crash avoidance rates.
Nevertheless, companies developing self-driving cars for years have touted their ability to vastly reduce crashes, with some, like General Motors Co, calling them a key part in achieving “zero crashes.”
The Alliance for Automotive Innovation, an auto industry group, in a statement said that even reducing traffic fatalities by a third would be something to be proud of, but that its members aim to do more.
Jack Weast, vice president of autonomous vehicle standards at Intel Corp.’s Mobileye, in an interview on Friday, said the auto industry was assembling a vast list of likely road scenarios and human behavior that every driverless car should be able to navigate safely. Government agencies and insurance companies are part of that process, Weast said.
“Crashes will never be zero until we have no more human drivers on the road,” he said. “But (self-driving cars) can combine physical laws with behavioral studies and do much more than a human driver.”
(Reporting by Tina Bellon in New York; Editing by David Gregorio)