Algorithm predicts which cars are most likely to run red lights
MIT has developed an algorithm that predicts which cars are likely to run a red light, so that other drivers can be warned
According to the U.S. National Highway Traffic Safety Administration, for the year 2008, over 700 fatalities resulted from drivers running red lights at intersections across the United States. Approximately half of the people killed weren’t the errant drivers themselves, but were other drivers, passengers or pedestrians who simply happened to be in the wrong place at the wrong time. One approach to reducing these numbers is to utilize technology such as Mercedes Benz’s Smart Stop system, that won’t let drivers run red lights. Scientists at MIT are looking at the problem from another angle, however – they have developed a system that identifies cars likely to run the reds, so that the other drivers can be warned to stay out of their way.
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