ASYMPTOTIC COMPATIBILITY OF A CLASS OF NUMERICAL SCHEMES FOR A NONLOCAL TRAFFIC FLOW MODEL

被引:1
作者
Huang, Kuang [1 ,2 ]
Du, Qiang [1 ,3 ]
机构
[1] Columbia Univ, Dept Appl Phys & Appl Math, New York, NY 10027 USA
[2] Chinese Univ Hong Kong, Dept Microbiol, Hong Kong, Peoples R China
[3] Columbia Univ, Data Sci Inst, New York, NY 10027 USA
关键词
traffic flow; nonlocal LWR; finite volume schemes; asymptotically compatibility; nonlocal-to-lo cal limit; PRESERVING AP SCHEMES; CONSERVATION-LAWS; ROBUST DISCRETIZATION; TRAVELING-WAVES; WELL-POSEDNESS; LOCAL LIMIT; SCALAR; CONVERGENCE; STABILITY; EQUATIONS;
D O I
10.1137/23M154488X
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
This paper considers numerical discretization of a nonlocal conservation law modeling vehicular traffic flows involving nonlocal intervehicle interactions. The nonlocal model involves an integral over the range measured by a horizon parameter and it recovers the local LighthillRichards-Whitham model as the nonlocal horizon parameter goes to zero. Good numerical schemes for simulating these parameterized nonlocal traffic flow models should be robust with respect to the change of the model parameters but this has not been systematically investigated in the literature. We fill this gap through a careful study of a class of finite volume numerical schemes with suitable discretizations of the nonlocal integral, which include several schemes proposed in the literature and their variants. Our main contributions are to demonstrate the asymptotically compatibility of the schemes, which includes both the uniform convergence of the numerical solutions to the unique solution of nonlocal continuum model for a given positive horizon parameter and the convergence to the unique entropy solution of the local model as the mesh size and the nonlocal horizon parameter go to zero simultaneously. It is shown that with the asymptotically compatibility, the schemes can provide robust numerical computation under the changes of the nonlocal horizon parameter.
引用
收藏
页码:1119 / 1144
页数:26
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