Typically due to friction (or other dissipative forces) physical systems reach stationary states, even if it takes really long time. Nonlinear systems, on the other hand, sometimes exhibit strange and erratic behavior.

Last time we have looked at how four different parking strategies work when inflow of drivers is homogeneous. We have done similarly to what was done in [1, 2], though our angle was a bit different.

This time we have modified the approach further. Namely, now we allow you to randomize the inflow of drivers and explore how do the performance of these strategies change in nonhomogeneous society.

A quick video about stop-and-go waves and how they arise and how to prevent them. Spoiler: the solution is not that original.

Traffic problems are ones we all face every day and we can explore using Physics of Risk tools such as agent-based models. Here we will take a look at a couple simple parking strategies from [1, 2].

In the last post we have provided you with interactive app, which allows you to compare Euler method and Runge-Kutta 4th order method. Now we share a video by Good Vibrations with Freeball, which discusses the exact derivation of the Runge-Kutta methods.