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07.07.2017 - DeepTraffic: How an MIT Simulation Game Uses Deep Learning to Reduce Gridlock



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Being stuck in traffic is frustrating and expensive. Beyond headaches and missed appointments, traffic congestion costs U.S. drivers some $300 billion annually. Researchers suggest self-driving cars — even in small numbers — will dramatically improve traffic flow. Lex Fridman and his team at MIT created a game to accelerate this future. DeepTraffic simulates a typical […]

The post DeepTraffic: How an MIT Simulation Game Uses Deep Learning to Reduce Gridlock appeared first on The Official NVIDIA Blog.



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