This work demonstrates convergence of numerical solutions for nonlocal conservation laws, indicating robust traffic flow modeling.
We consider a class of nonlocal conservation laws modeling traffic flows, given by ∂ₜ ρ_ε + ∂ₓ(V(ρ_ε γ_ε) ρ_ε) = 0 with a suitable convex kernel γ_ε, and its Godunov-type numerical discretization. We prove that, as the nonlocal parameter ε and mesh size h tend to zero simultaneously, the discrete approximation Wε,h of W_ε := ρ_ε γ_ε converges to the entropy solution of the (local) scalar conservation law ∂ₜ ρ+ ∂ₓ(V(ρ) ρ) = 0, with an explicit convergence rate estimate of order ε+h+√ε\, t+√h\,t. In particular, with an exponential kernel, we establish the same convergence result for the discrete approximation ρε,h of ρ_ε, along with an L¹-contraction property for W_ε. The key ingredients in proving these results are uniform L^∞- and TV-estimates that ensure compactness of approximate solutions, and discrete entropy inequalities that ensure the entropy admissibility of the limit solution.
No takes yet. Share an insight, caveat, or question.
Nitti et al. (2025) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: