Individual agents: groups and single persons

In one sentence

Any indicator can be filtered by group, by area or by time of day, down to a single person.

Why it matters

Every simulated person carries attributes and a daily plan. Results can therefore be read for everyone, for a subpopulation — commuters with a car, students, seniors without one — or for one person: their journeys, their waiting, their transfers.

Agent-based simulation is usually explained with equations or with a screenshot of a running model. Neither shows why a planner should care. These explainers show the mechanism itself — one person, one day, one score — so that the results on a dashboard stop being a black box.

Sources

• Schematic illustration; values are illustrative

What you see

1. 00.0One zone, 48 residents
2. 02.4Subpopulations
3. 03.6Three persons and their attributes
4. 09.0Filter: students
5. 11.8Filter: seniors
6. 15.0Takeaway

Use this explainer

Poster (PNG) · MP4 / GIF: rendered on request

Embed: <iframe src="https://www.replan.city/explains/embed/individual-agents.html?lang=en" width="900" height="360" style="border:0;max-width:100%;aspect-ratio:5/2" loading="lazy" title="Individual agents: groups and single persons"></iframe> Copy
Paste into any page; the explainer plays as live SVG (no video file).

Licence: CC BY 4.0 — reuse freely with the line “Replan GmbH · replan.city/explains”. The Replan mark in the corner stays.