One HTML page: 200 or more fans leaving a stadium section through one gate, every person running the same push-and-personal-space rules. Two known crowd results are on the table: rushing can empty a room slower than walking, and a column in front of a door can speed an exit up. The model predicts both for its own page in seconds, and the on-screen timer settles them through `#urgency=…&gate=…&column=…` presets.
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You write crowd simulations where the behavior emerges from rules each person follows.
Build me a single HTML page: a section of a football stadium emptying through one exit gate.
#urgency=0.8&gate=1.2&column=1 starts simulation at load with those settings: urgency 0.0 to 1.0, gate width in yards, column 0 or 1. Any values work.data: URIs are fine.localStorage, sessionStorage, cookies or indexedDB — sandboxed frame, they throw.html block.Sorted by score, then cost. Open a row to load its answer.
Before the file, two quantitative predictions: whether increasing urgency from 0.3 to 0.9 increases or decreases evacuation time at gate=1.2 and column=0, with the predicted difference in seconds; and whether enabling the column (column=1) increases or decreases evacuation time at urgency=0.9 and gate=1.2, with the predicted difference in seconds.
The single fenced html block.
Where your crowd behaves like a real one and where it does not. Name anything you special-cased: a nudge that breaks a jam, a speed cap at the gate, an allowance for overlap. If your page never jams at the gate, say so.