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Title:

Multiscale Traffic Flow Model Based on the Mesoscopic Lighthill–Whitham and Richards Models

Accession Number:

01557134

Record Type:

Component

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Order URL: http://worldcat.org/isbn/9780309369275

Abstract:

This article reviews the multiscale modeling concept as an adaptive strategy in traffic flow modeling. The central objective for the multiscale model is to describe and to predict traffic phenomena (e.g., individual accelerations, queuing) that occur at different scales by switching between modeling paradigms. The emphasis in this paper is placed on resolving inconsistencies that arise in the process of integrating models, which are addressed with the mesoscopic Lighthill–Whitham and Richards models—together, widely known as the Lighthill–Whitham– Richards (LWR) model—as the coarse-scale model in the framework. The mesoscopic model is fully consistent at the macroscopic scale with the classic LWR model but does facilitate tracking of individual vehicles. Because of this characteristic, this model can be combined with microscopic models, because no disaggregation or aggregation process is needed. It is thus implied, for example, that travel information (e.g., destination) can be carried over this model without loss of information. Also, vehicle heterogeneity can be incorporated in the mesoscopic model and, as a result, is preserved in the process of switching between models. A brief overview of the mesoscopic LWR model and its solution by the variational theory is presented. General boundary conditions, including internal boundaries (e.g., moving bottlenecks) and interfaces between models, are analyzed and evaluated. The solution of some cases, in which the stationary and moving bottlenecks interact, is provided. The paper concludes with a case study that demonstrates the integration of microscopic and mesoscopic models in a multiscale model and investigates the influence of various boundary conditions on traffic features.

Monograph Accession #:

01586813

Report/Paper Numbers:

15-5311

Language:

English

Authors:

Joueiai, Mahtab
Leclercq, Ludovic
Van Lint, Hans
Hoogendoorn, Serge

Pagination:

pp 98–106

Publication Date:

2015

Serial:

Transportation Research Record: Journal of the Transportation Research Board

Issue Number: 2491
Publisher: Transportation Research Board
ISSN: 0361-1981

ISBN:

9780309369275

Media Type:

Print

Features:

Figures (7) ; References (19)

Subject Areas:

Highways; Operations and Traffic Management; Planning and Forecasting; I71: Traffic Theory

Files:

TRIS, TRB, ATRI

Created Date:

Dec 30 2014 1:47PM

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