Estimation of multiclass origin-destination matrices from traffic counts

S. C. Wong; C. O. Tong; K. I. Wong; Hing Keung William Lam; H. K. Lo; H. Yang; H. P. Lo

doi:10.1061/(ASCE)0733-9488(2005)131:1(19)

Estimation of multiclass origin-destination matrices from traffic counts

S. C. Wong
, C. O. Tong
, K. I. Wong
, Hing Keung William Lam
, H. K. Lo
, H. Yang
, H. P. Lo

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

26 Citations (Scopus)

Abstract

This paper presents a procedure for the estimation of multiclass origin-destination (O-D) matrices for a highway network. The system consists of a number of vehicle classes. Demand is assigned to the network in a user equilibrium manner. An entropy maximization procedure is proposed to simultaneously estimate the O-D demand matrices of all vehicle classes, which are consistent with the multiclass traffic counts that are observed directly in the network. A case study of the Hong Kong highway network demonstrates the effectiveness of the proposed methodology for a real large-scale network. Journal of Urban Planning and Development

Original language	English
Pages (from-to)	19-29
Number of pages	11
Journal	Journal of Urban Planning and Development
Volume	131
Issue number	1
DOIs	https://doi.org/10.1061/(ASCE)0733-9488(2005)131:1(19)
Publication status	Published - 1 Mar 2005

UN SDGs

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

SDG 9 Industry, Innovation, and Infrastructure
SDG 11 Sustainable Cities and Communities

Keywords

Highway management
Traffic analysis
Traffic assignment
Traffic congestion
Transportation models
Transportation planning

ASJC Scopus subject areas

Civil and Structural Engineering
Geography, Planning and Development
Development
Urban Studies

More information

10.1061/(ASCE)0733-9488(2005)131:1(19)

Cite this

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keywords = "Highway management, Traffic analysis, Traffic assignment, Traffic congestion, Transportation models, Transportation planning",

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AU - Wong, S. C.

AU - Tong, C. O.

AU - Wong, K. I.

AU - Lam, Hing Keung William

AU - Lo, H. K.

AU - Yang, H.

AU - Lo, H. P.

PY - 2005/3/1

Y1 - 2005/3/1

N2 - This paper presents a procedure for the estimation of multiclass origin-destination (O-D) matrices for a highway network. The system consists of a number of vehicle classes. Demand is assigned to the network in a user equilibrium manner. An entropy maximization procedure is proposed to simultaneously estimate the O-D demand matrices of all vehicle classes, which are consistent with the multiclass traffic counts that are observed directly in the network. A case study of the Hong Kong highway network demonstrates the effectiveness of the proposed methodology for a real large-scale network. Journal of Urban Planning and Development

AB - This paper presents a procedure for the estimation of multiclass origin-destination (O-D) matrices for a highway network. The system consists of a number of vehicle classes. Demand is assigned to the network in a user equilibrium manner. An entropy maximization procedure is proposed to simultaneously estimate the O-D demand matrices of all vehicle classes, which are consistent with the multiclass traffic counts that are observed directly in the network. A case study of the Hong Kong highway network demonstrates the effectiveness of the proposed methodology for a real large-scale network. Journal of Urban Planning and Development

KW - Highway management

KW - Traffic analysis

KW - Traffic assignment

KW - Traffic congestion

KW - Transportation models

KW - Transportation planning

UR - https://www.scopus.com/pages/publications/14644430419

U2 - 10.1061/(ASCE)0733-9488(2005)131:1(19)

DO - 10.1061/(ASCE)0733-9488(2005)131:1(19)

M3 - Journal article

SN - 0733-9488

VL - 131

SP - 19

EP - 29

JO - Journal of Urban Planning and Development

JF - Journal of Urban Planning and Development

IS - 1

ER -

Estimation of multiclass origin-destination matrices from traffic counts

Abstract

UN SDGs

Keywords

ASJC Scopus subject areas

More information

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