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An item in IEEE Spectrum by Prachi Patel notes the development of a smart traffic system in Pittsburgh.  Called Surtrac, the system developed by CMU professor Stephen Smith uses Artificial Intelligence techniques to adapt traffic signals to current conditions.

Prof. Smith's research suggests that Surtrac has reduced trip times 25 percent and idling times by over 40 percent, a significant difference.

Technology is often linked to efficiency. As in, technology change or technological progress equals greater efficiency. In our courses we try to break students of that assumption, and consider cases where greater efficiency may be harmful or anti-progressive. One of our favourites is Jevon's Paradox, in which an improvement in efficiency can paradoxically lead to an increase in consumption of the resource.

But here's another example. In this case, traffic efficiency was reduced to make streets safer.