• What exactly are you simulating? Car traffic? That's my guess based on the menu title, but otherwise I don't really know what it means to simulate Paris "life". If so its probably worth noting that only about 10% of Paris's population gets around in cars.

    I think more explanation of what exactly you're simulating and what the inputs and outputs are would be helpful. Right now I don't really understand what you did or were trying to do.

    it's mostly just a test for me to try and learn simulation, its hardcoded estimation of places most visited in paris not real data

  • Here's how :

    The logic.

    Built a probabilistic engine with 50+ hotspots. It simulates the city's density cycles for a full week without using private data.

    The indexing.

    Used Uber H3 to handle the spatial aggregation across Paris. It’s a pretty optimized way to manage thousands of cells at once.

    The look.

    Gaussian interpolation to get fluid heatmaps. Influence decays exponentially from hotspots to mimic how crowds actually move.

    The speed.

    Node.js handles the probability math, but the GPU does the heavy lifting. 17,000+ points in real-time thanks to Deck.gl.

    GitHub Repo (video demo and explanation there) :
    https://github.com/yvann-ba/realtime-paris-density-simulation.git

    btw i'm building a massive geospatial/AI project with my dad
    Planetary-scale real Earth data. Drive, edit, and build like a game.

    Google Earth + Minecraft basically
    DM me to share some XP feedbacks pleasee! ((:
    https://www.linkedin.com/in/yvann-barbot/

  • Awesome. How would you do it for the whole world?

    I would need multiples gpu ahah and a lots of data about where the people actually go everyday, so i need to be google basically