A dynamically bi‐orthogonal solution method for a stochastic Lighthill‐Whitham‐Richards traffic flow model-Reference-Cited by-同舟云学术

A dynamically bi‐orthogonal solution method for a stochastic Lighthill‐Whitham‐Richards traffic flow model

Published:2022-11-21 Issue: Volume: Page:
ISSN:1093-9687
Container-title:Computer-Aided Civil and Infrastructure Engineering
language:en
Short-container-title:Computer aided Civil Eng

Author:

Fan Tianxiang¹,Wong S. C.¹²,Zhang Zhiwen³,Du Jie⁴⁵

Affiliation:

1. Department of Civil Engineering The University of Hong Kong Pok Fu Lam, Hong Kong SAR China

2. Guangdong–Hong Kong–Macau Joint Laboratory for Smart Cities Hong Kong SAR China

3. Department of Mathematics The University of Hong Kong Pok Fu Lam, Hong Kong SAR China

4. Yau Mathematical Sciences Center Tsinghua University Beijing China

5. Yanqi Lake Beijing Institute of Mathematical Sciences and Applications Beijing P. R. China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Graphics and Computer-Aided Design,Computer Science Applications,Civil and Structural Engineering,Building and Construction

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/mice.12953

Reference34 articles.

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2. A robust bi‐orthogonal/dynamically‐orthogonal method using the covariance pseudo‐inverse with application to stochastic flow problems;Babaee H.;Journal of Computational Physics,2017

3. A Stochastic Collocation Method for Elliptic Partial Differential Equations with Random Input Data

4. Methodology for assessing dynamics of freeway traffic flow;Cassidy M. J.;Transportation Research Record,1995

5. A dynamically bi‐orthogonal method for time‐dependent stochastic partial differential equations I: Derivation and algorithms;Cheng M.;Journal of Computational Physics,2013

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