The first look at how hacked self-driving cars would affect New York City traffic

Researchers have analyzed the real-time effect of a large-scale hack on automobiles in a major urban environment. Using percolation theory, they analyzed how a large, disseminated hack on automobiles would affect traffic flow in New York City, and they found that it could create citywide gridlock. However, based on these findings the team also developed a risk-mitigation strategy to prevent mass urban disruption.

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