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    People in shared spaces

    Crowd Flow / Local Navigation

    Watch people move through shared space, adjusting to one another and to the obstacles around them. As each person makes small local choices, larger streams, lanes, and bottlenecks begin to appear.

    Watch local choices become shared flow

    Watch people move through shared space, adjusting to one another and to the obstacles around them. As each person makes small local choices, larger streams, lanes, and bottlenecks begin to appear.

    What to watch: soft lanes form in two-way traffic, streams bend around pillars, and narrow gates slow movement without anyone directing the group.

    Explanatory notes

    • Each person has a destination, but no one receives a central traffic plan.
    • Nearby neighbours create gentle side-step and spacing forces, making streams separate where possible.
    • Pillars and gate edges repel locally, so the crowd bends around constraints like water around rocks.
    • Narrow exits increase pressure and slow movement, making bottlenecks visible without panic styling.

    Observe

    People steer toward simple destinations while making small local adjustments around neighbours, pillars, gates, and exits.

    Controls

    Crowd view

    Begin with a calm public-space preset. Watch the flow first, then open the sections below to tune density and constraints.

    Explore the flow

    The exhibit keeps the model simple: every person walks toward a goal, makes room locally, and responds to the shape of the space.

    Head for a goal
    People aim for exits or destinations on the far side of the shared space.
    Avoid locally
    Nearby neighbours create gentle spacing, so no person needs to understand the whole crowd.
    Flow around rocks
    Pillars and gate edges repel nearby movement, bending streams through open space.
    Find lanes
    Two-way streams separate when repeated side-steps make one path feel easier than another.
    Visual overlays

    Keep the default view calm, or reveal gentle reading cues.

    Advanced tuning

    Applications

    • Public-space planning
    • Station and concourse design
    • Evacuation interface prototyping
    • Multi-agent navigation

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