非保守NET-RAT交通流模型的路径保守中心逆风方案数值研究

IF 2.9 2区 数学 Q1 MATHEMATICS, APPLIED
Saeed Mohammadian, Zuduo Zheng, Shaoshuai Chu, Alexander Kurganov
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引用次数: 0

摘要

行为非均衡双曲交通模型是由具有人为因素的近似车辆跟随模型推导而来的,它可能失去其保守形式,使传统的基于流量的数值方法失效。这一挑战也适用于最近提出的行为连续体(基于风险平衡理论的非均衡交通模型,即NET-RAT)模型。本文重点研究了采用路径保守型中心迎风(pcu)方案求解非保守形式的新型NET-RAT模型的Riemann问题和其他几个初值问题。考虑到NET-RAT模型的独特行为特性,我们设计了广泛的数值测试。然后将pcccu方案应用于这些测试,得到的结果表明,该方案有效而准确地捕获了主要的波浪类型。与此同时,使用加权基本非振荡(A-WENO)方法构建的五阶方案比其二阶对应方案产生更清晰的分辨率。所提出的数值研究有助于NET-RAT模型在现实世界流量中的实际实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Numerical study of the non-conservative NET-RAT traffic flow model by path-conservative central-upwind schemes
Behavioral non-equilibrium hyperbolic traffic models, derived from approximated car-following models with human factors, can lose their conservative form, rendering traditional flux-based numerical methods ineffective. This challenge also applies to the recently proposed behavioral continuum (non-equilibrium traffic model based on risk allostasis theory, that is, NET-RAT) model. This paper is focused on solving the Riemann problem and several other initial-value problems for the novel NET-RAT model in the non-conservative form by path-conservative central-upwind (PCCU) schemes. We design extensive numerical tests considering the unique behavioral properties of the NET-RAT model. The PCCU schemes are then applied to these tests and the obtained results demonstrate that major wave types are effectively and accurately captured. At the same time, the fifth-order scheme, which is constructed using an alternative weighted essentially non-oscillatory (A-WENO) approach, yields substantially sharper resolution than its second-order counterpart. The presented numerical study can facilitate the practical implementation of the NET-RAT model for real-world traffic.
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来源期刊
Computers & Mathematics with Applications
Computers & Mathematics with Applications 工程技术-计算机:跨学科应用
CiteScore
5.10
自引率
10.30%
发文量
396
审稿时长
9.9 weeks
期刊介绍: Computers & Mathematics with Applications provides a medium of exchange for those engaged in fields contributing to building successful simulations for science and engineering using Partial Differential Equations (PDEs).
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