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 — work they will describe at the 2019 APS March Meeting.

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

Author: Ralph Turchiano

In short, I review clinical research on an almost daily basis. What I post tends to be articles that are relevant to the readers in addition to some curiosities that have intriguing potential. As a hobby, I truly enjoy the puzzle-solving play that statistics and programming as in the python language bring to the table. I just do not enjoy problem-solving, I love problem-solving and the childlike inspiration and exploration of that innocent exhilaration of discovering something new. Enjoy ;-)