Estimation of Multiclass Origin-Destination Matrices from Traffic Counts
Publication: Journal of Urban Planning and Development
Volume 131, Issue 1
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.
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Acknowledgments
This paper is based on a contract research project for the Transport Department of the Hong Kong Special Administrative Region (HKSAR) Government. The comments that are expressed herein reflect the views of the writers, who are responsible for the facts and the accuracy of the data. The content of this paper does not reflect the official views or policy of the Transport Department of the HKSAR Government. The research that is described herein was a joint effort of the University of Hong Kong, the Hong Kong Polytechnic University, the Hong Kong University of Science and Technology, and the City University of Hong Kong. The assistance of the Transport Planning Division of the Transport Department is gratefully acknowledged. The research was partially supported by the Industry Fellow and Industry Associate Schemes, Faculty Innovative and Technology Fund (Project Account: 10300172), and the William Mong Young Researcher Award from the University of Hong Kong. The writers wish to thank Dr. Y. L. Choi, Senior Industry Fellow and Adjunct Professor of the University of Hong Kong, for his helpful suggestions and useful comments on an earlier version of the paper.
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Published In
Journal of Urban Planning and Development
Volume 131 • Issue 1 • March 2005
Pages: 19 - 29
Copyright
© ASCE.
History
Received: Apr 22, 2003
Accepted: Nov 13, 2003
Published online: Mar 1, 2005
Published in print: Mar 2005
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