A dynamic traffic assignment model for a continuum transportation system

Yanqun Jiang; S. C. Wong; H. W. Ho; Peng Zhang; Ruxun Liu; Agachai Sumalee

doi:10.1016/j.trb.2010.07.003

A dynamic traffic assignment model for a continuum transportation system

Yanqun Jiang, S. C. Wong, H. W. Ho, Peng Zhang, Ruxun Liu, Agachai Sumalee

Research output: Journal article publication › Journal article › Academic research › peer-review

49 Citations (Scopus)

Abstract

A predictive continuum dynamic user-optimal (PDUO-C) model is formulated in this study to investigate the dynamic characteristics of traffic flow and the corresponding route-choice behavior of travelers within a region with a dense urban road network. The modeled region is arbitrary in shape with a single central business district (CBD) and travelers continuously distributed over the region. Within this region, the road network is represented as a continuum and travelers patronize a two-dimensional continuum transportation system to travel to the CBD. The PDUO-C model is solved by a promising solution algorithm that includes elements of the finite volume method (FVM), the finite element method (FEM), and the explicit total variation diminishing Runge-Kutta (TVD-RK) time-stepping method. A numerical example is given to demonstrate the utility of the proposed model and the effectiveness of the solution algorithm in solving this PDUO-C problem.

Original language	English
Pages (from-to)	343-363
Number of pages	21
Journal	Transportation Research Part B: Methodological
Volume	45
Issue number	2
DOIs	https://doi.org/10.1016/j.trb.2010.07.003
Publication status	Published - 1 Jan 2011

Keywords

Continuum model
Dynamic traffic assignment
Finite element method
Hamilton-Jacobi equation
Path-choice strategy
Predictive user-equilibrium

ASJC Scopus subject areas

Civil and Structural Engineering
Transportation

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.trb.2010.07.003

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title = "A dynamic traffic assignment model for a continuum transportation system",

abstract = "A predictive continuum dynamic user-optimal (PDUO-C) model is formulated in this study to investigate the dynamic characteristics of traffic flow and the corresponding route-choice behavior of travelers within a region with a dense urban road network. The modeled region is arbitrary in shape with a single central business district (CBD) and travelers continuously distributed over the region. Within this region, the road network is represented as a continuum and travelers patronize a two-dimensional continuum transportation system to travel to the CBD. The PDUO-C model is solved by a promising solution algorithm that includes elements of the finite volume method (FVM), the finite element method (FEM), and the explicit total variation diminishing Runge-Kutta (TVD-RK) time-stepping method. A numerical example is given to demonstrate the utility of the proposed model and the effectiveness of the solution algorithm in solving this PDUO-C problem.",

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AU - Wong, S. C.

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AU - Zhang, Peng

AU - Liu, Ruxun

AU - Sumalee, Agachai

PY - 2011/1/1

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AB - A predictive continuum dynamic user-optimal (PDUO-C) model is formulated in this study to investigate the dynamic characteristics of traffic flow and the corresponding route-choice behavior of travelers within a region with a dense urban road network. The modeled region is arbitrary in shape with a single central business district (CBD) and travelers continuously distributed over the region. Within this region, the road network is represented as a continuum and travelers patronize a two-dimensional continuum transportation system to travel to the CBD. The PDUO-C model is solved by a promising solution algorithm that includes elements of the finite volume method (FVM), the finite element method (FEM), and the explicit total variation diminishing Runge-Kutta (TVD-RK) time-stepping method. A numerical example is given to demonstrate the utility of the proposed model and the effectiveness of the solution algorithm in solving this PDUO-C problem.

KW - Continuum model

KW - Dynamic traffic assignment

KW - Finite element method

KW - Hamilton-Jacobi equation

KW - Path-choice strategy

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JO - Transportation Research, Series B: Methodological

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A dynamic traffic assignment model for a continuum transportation system

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

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