Before self-driving cars become the main form of transportation, we need to find solutions to make roads safer for everyone from motorists to cyclists and pedestrians.
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That is the aim of a research team comprised of professors from the University of Queensland, the University of British Columbia, and the Queensland University of Technology. With the help of video technology, deep learning, artificial intelligence, and advanced econometrics, they developed an algorithm and gathered data to predict crash risks.
“Using advanced video analytics technologies, we’re able to measure and detect interactions among road users that are reliable predictors of future crashes,” Professor Simon Washington said.
“We’ve already implemented this technology in 20 cities in eight countries around the world, resulting in improvements to a number of intersections,” Professor Washington said. “We’ve also partnered with the Department of Transport and Main Roads to roll out a pilot of the technology locally.”
(Image credit: John Arano/Unsplash)
Source: neatorama