I am trying to solve the LWH traffic flow equation, which is a nonlinear hyperbolic equation

$$\frac{\partial \rho}{\partial t}+\frac{\partial (v\rho)}{\partial x}=0,$$ where $$v=v_0(1-\frac{\rho}{c}).$$

$v_0$ is a given constant that may or may not vary with position, which represents the optimal velocity for the vehicles, $\rho$ is the density of the cars, and $c$ is a given constant.

With a discontinuous initial condition, simply using Lax-Wendroff will give overshoots. So I am thinking of adding a flux-limiter, say Superbee.

But most of the resources I have read only talk about applying flux-limiters to linear equations. So how should I apply a flux-limiter to Lax-Wendroff with this nonlinear problem?

  • 2
    $\begingroup$ what resources have you consulted? there's lots of good material on this topic just one google search away, like these notes or Randall Leveque's book - chapters 6, 11 and 12. $\endgroup$
    – GoHokies
    Mar 6 '18 at 11:47
  • $\begingroup$ @GoHokies: Lots of people on StackOverflow initially suggested Google-ing the answers to programming questions. Now SO is the top Google result for almost every programming question. It turns out that asking and answering questions here produces knowledge that is easier to access, and understand. $\endgroup$
    – Richard
    Mar 6 '18 at 18:33
  • $\begingroup$ @Richard in general, I tend to agree with you. the answer to this particular question, however, would simply repeat material that can already be found in a number of introductory-level references, including those i've linked to. i think a couple of references are sufficient to get the ball rolling. $\endgroup$
    – GoHokies
    Mar 6 '18 at 18:41
  • $\begingroup$ @Richard The difference is that many programming questions involve libraries that change on a timescale of months. The basic answer to the question here has not changed since it was invented in the 1980's. $\endgroup$ Mar 7 '18 at 8:40
  • $\begingroup$ distill.pub/2017/research-debt $\endgroup$
    – Richard
    Jul 31 '18 at 0:47

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