In the USA, they calculated how many accidents can prevent autonomous carsJune 5, 2020
Self-driving cars touted by their developers as a way to eliminate traffic accidents are likely to be able to prevent only a third of all accidents in the United States. This assessment is provided in a study report by the Insurance Institute for Highway Safety (IIHS), funded by US insurers. The authors of the study concluded that the remaining two-thirds of the accidents were caused by errors that self-driving systems can handle no better than people do.
e Last year, more than 36,000 people died in car accidents in the United States. Traffic experts say that approximately nine out of ten crashes result from human error.
Companies developing cars with self-driving systems have repeatedly positioned fully automated traffic as a tool to radically reduce road deaths by eliminating the human factor.
The IIHS study provides a more detailed picture of driver errors, showing that not all errors can be eliminated from sensors and computers. Researchers analyzed more than 5,000 representative accidents nationwide and identified driver-related factors contributing to the accident. It turned out that only a third of all accidents was the result of only perception errors or driver actions. Most accidents resulted from more complex errors, including incorrect assumptions about the actions of other road users or incorrect maneuvers. In many accidents, the effect of several errors was summarized.
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