parking in cities
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On suboptimal optimization.
If you’re hoping that self-driving cars will prevent traffic jams, think again. They might be designed to make traffic worse.
Adam Millard-Ball, AI, artificial intelligence, atomic weapons, automation, capitalism, carbon costs, carbon emissions, carbon emissions from driving, carbon tax, climate change, cost benefit analysis, cost to park, did Heisenberg know linear algebra, driving, economics, finite, finite mathematics, general education requirements, global warming, graffiti that confuses self-driving cars, Heisenberg, Heisenberg and linear algebra, Heisenberg Uncertainty Principle, intentionally causing traffic jams, linear algebra, linear optimization, math, math panic, matrices, matrix, maximizing utility, minimizing costs, negative externalities, nuclear weapons, parking, parking fees, parking in cities, philosophy, pollution, pollution is free, pricing carbon, pricing externalities, public utility, quantum mechanics, robot cars, robot drivers, self-driving car, self-driving cars causing traffic jams, taxing carbon, taxing emissions, taxing pollution, teaching math, traffic, traffic laws, traffic patterns, trolley problem, university degree, university policies, university policy, usage fees, Werner Heisenberg, why didn’t Germany have atomic weapons, why is it free to pollute, why isn’t pollution taxed