Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

Modeling space–time inhomogeneities with the kinematic wave theory

Authors: Jia Li; H.M. Zhang;

Modeling space–time inhomogeneities with the kinematic wave theory

Abstract

In this paper, the authors are concerned with modeling space–time inhomogeneities with the kinematic wave (Lighthill-Whitham-Richards(LWR)) model. The notion of space–time inhomogeneity refers to the fact that governing laws of traffic, essentially dictated by fundamental diagrams (FD), differ from each other in distinct space–time regions. Such a scenario is common when exogenous inputs, e.g. a group of slowly moving vehicles, emerge in the modeling process. The authors will prove the well-posedness of this class of problems. More importantly, the authors show that if the boundary delineating two neighboring regions is continuous and has bounded speed, this problem can be greatly simplified by introducing a piecewise linear approximation to the boundary. In particular, the authors utilize the variational formulation of the kinematic wave model and prove that this approximation results in uniformly bounded errors in cumulative flow N which are proportional to the L8 deviation of the approximation. The numerical solution of this simplified problem is well understood, and this result means that a kinematic wave model with space–time inhomogeneity can be solved accurately with any existing Godunov type scheme. Finally, using the inhomogeneous LWR model, the authors explain the capacity drop as a natural result of space–time inhomogeneity.

Related Organizations
  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    14
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
14
Top 10%
Top 10%
Top 10%
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!