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The City as an Organism: Nature’s Lessons for Roads Without Gridlock ⚡ экспресс

Original: "Unravelling Nature's Models for Transportation Network: Considering a Biomimicry Framework"
arXiv:2605.23766 · 2026-05-22 · CC BY · ⏱ 1 min · Physics and Society
Rivers, leaves, and slime mold hold the secret to transport networks that never choke on traffic and shrug off failures.
Abstract

Scientists have taken a peek at nature for ideas to create smart roads and pathways. Living organisms — from anthills to blood vessels — are experts at building amazingly efficient networks. This work suggests a way to transfer such biological tricks to transportation systems, making them more reliable and faster. And, what if our cities one day 'overgrow' with roads, like a living organism?

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The city breathes and feeds, its bloodstream is its roads. But while engineers draw straight lines, nature has been testing the perfect network for millions of years: rivers unerringly find their way to the sea, leaves are laced with veins without a single unnecessary vessel. New research suggests we learn directly from evolution.

Instead of rigid blueprints, simple growth rules. Just specify where the ‘nutrient’ points are, and the water element or a living organism will build the optimal route on its own. For example, a brainless slime mold can recreate the Tokyo metro map in hours—faster than supercomputers.

In an experiment, scientists placed food at satellite city locations, and the mold created an accurate transport network.

The result for us: roads that cost less, break down less often, and adapt to surges of cars. This isn’t magic, but a battle against entropy, that eternal drift toward disorder. Nature plays by these rules at every scale: from leaf veins to galactic patterns in the night sky.

🎯 That very slime mold built a replica of the Tokyo metro faster and more efficiently than a team of engineers—simply by crawling toward oat flakes placed on a map.

Scientists
Jacob BekensteinStephen HawkingLudwig BoltzmannFritz ZwickyEdward WittenJuan Maldacena
Tags
Water entropy galaxy
Laws
second law of thermodynamicsBekenstein-Hawking entropyBoltzmann distributionfirst law of thermodynamicsvirial theoremAdS/CFT correspondence
Original: arXiv:2605.23766 · CC BY · bridge42worlds