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The researchers also investigated whether the hack would help drive

May 21, 2019 by Lena Webb

The researchers also investigated whether the hack would help drive up rates of accidents. One of the main problems with percolation theory is that it assumes that accidents are caused by things like high-speed, stationary vehicles traveling at an unbroken speed. The researchers found that when the crash site is congested, there is less demand for a vehicle to go to the curb. This means that people who drive by the scene of a crash are more likely to get a crash. The team also found that those who were hit by a vehicle could still avoid the collision, but were less likely to avoid getting hurt.

These findings are the stuff of legend, but Vivek's team was able to demonstrate what they dubbed "micro-dependence." It's a theory that says every time you drive on a street in a city, you have two possible paths. One is where a traffic signal is coming down on a route, making it faster for traffic to get to it, and the other is where a signal is coming down on a route. As far as the research goes, the researchers expect such patterns to emerge at any given time, but it doesn't take long before they can be replicated.

The researchers estimate that their method could have been used in cities with a much larger number of drivers than Manhattan. It would also have made sense to do a bigger hack in every city. The researchers used a method that they call "double-dipping," in which drivers are able to dip their car into the opposite direction (or even just into the opposite direction entirely). The trick is to make the car run at an infinite speed faster than it would on any other route.

But if the researchers were to run these data through the model, they would have a very different idea—and the same method. A small percentage of a city's traffic would be affected by the hack. The result would be more collisions, which is what you want when you want your car to run at full speed.

The researchers also did a couple more experiments. The team was able to make a small but measurable change in the behavior of vehicles on the road. "A car with more miles on the road would have greater chance of being injured," Vivek said. "A car with more miles on the road would have zero chance of a collision."

Vivek and his team tested the idea with their own cars (which are much smaller). The cars, they said, had a relatively small number of miles on the road and were more likely to have higher road