New: Transport & Society Simulations — Traffic, Cities, and Crowds
How do traffic jams form with no accidents? Why do buses always bunch
in pairs? How does a city grow from rules that no individual designed?
Nine new social and transport simulations try to answer exactly that.
9
new simulations
2
new categories
EN + UK
languages
226
total simulations now
Transport Simulations
These four sims model how people and vehicles move through networks.
All four support real-world parameters reported in the literature —
you can reproduce classic results from traffic science.
3 buses, 12 stops, realistic passenger arrival rates. Watch how a
tiny schedule perturbation spirals into two buses running together
and one running empty. Toggle the holding strategy to see how
operators fix it.
80×54 cellular automaton with 4 land-use states: residential,
commercial, industrial, empty. Transition rules encode proximity
effects — industry zones deter nearby residential. Watch the
sprawl emerge with no central planner.
100 pedestrians governed by the social forces model (Helbing &
Molnár 1995). Each agent responds to desired velocity, repulsion
from others and walls. Toggle panic mode — the crowd dynamics
change completely.
Nagel-Schreckenberg cellular automaton on a 200-cell ring. Just 4
update rules produce phantom jams — jam-from-nothing with no
obstacles. Includes a space-time diagram to see jam wave
propagation.
These five simulations model collective human behaviour at the group
and economic level — opinion formation, wealth distribution, voting
dynamics and long-run economic growth.
N agents on a grid, each with a binary opinion. Each step, pick a
random agent and copy a neighbour's view. Surprisingly, this
simple rule creates large consensus clusters — much like real
opinion polarisation.
The yard-sale model: random wealth exchanges between N agents.
Even with perfectly fair rules, wealth concentrates in one agent
every time — demonstrating how inequality can arise from random
chance, not just ability.
The bounded-confidence model: agents only talk to those with
similar views. Drag the tolerance threshold and watch a continuous
spectrum of opinions collapse into isolated echo chambers.
The classic Solow-Swan model: capital, labour and a Cobb-Douglas
production function. Shows how an economy converges to a steady
state and why the savings rate can only temporarily boost growth,
not long-run output per capita.
1000 heterogeneous traders — fundamentalists, chartists and noise
traders — competing on an order book. Fat-tailed return
distributions and volatility clustering emerge without any
external shock.
All 9 simulations are available in both English and Ukrainian. The
Ukrainian translations include all parameter labels, description
text and educational tooltips — not just the title.
What's Next
The transport and society categories still have room to grow. On the
transport side, we are planning a multi-modal transit network model
(rail + bus) and a supply-chain disruption simulation. On the society
side, a segregation (Schelling) model and a pandemic policy simulator
are on the radar.
If you have a social system you would like to see simulated — a market
mechanism, a voting system, an urban traffic problem — leave a note
via the
Contact page.