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Fnord666 [soylentnews.org] writes:

The next time you're hunting for a parking spot, mathematics could help you identify the most efficient strategy, according to a recent paper [iop.org] in the Journal of Statistical Mechanics. It's basically an optimization problem: weighing different variables and crunching the numbers to find the optimal combination of those factors. In the case of where to put your car, the goal is to strike the optimal balance of parking close to the target—a building entrance, for example—without having to waste too much time circling the lot hunting for the closest space.

Paul Krapivsky of Boston University and Sidney Redner of the Santa Fe Institute decided to build their analysis around an idealized parking lot with a single row (a semi-infinite line), and they focused on three basic parking strategies. A driver who employs a "meek" strategy will take the first available spot, preferring to park as quickly as possible even if there might be open spots closer to the entrance. A driver employing an "optimistic" strategy will go right to the entrance and then backtrack to find the closest possible spot.

Finally, drivers implementing a "prudent" strategy will split the difference. They might not grab the first available spot, figuring there will be at least one more open spot a bit closer to the entrance. If there isn't, they will backtrack to the space a meek driver would have claimed immediately.

Source: https://arstechnica.com/science/2019/09/to-find-the-best-parking-spot-do-the-math/ [arstechnica.com]

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