Conference Proceedings
Application of an exact gradient method to estimate dynamic origin-destination demand for melbourne network
S Shafiei, M Saberi, M Sarvi
IEEE Conference on Intelligent Transportation Systems Proceedings ITSC | IEEE | Published : 2016
Abstract
The time-dependent origin-destination (TDOD) demand estimation problem aims at estimating dynamic demand that represents the observed traffic flow patterns in a transportation network. Errors in TDOD demand are often propagated into the network outputs causing unreliable planning and operational policies. In this study, a bi-level optimization problem is proposed where the upper level is an Ordinary Least-Squared (OLS) error minimization problem that minimizes the deviation between the estimated and observed traffic volumes from SCATS, while the lower level generates assignment proportions matrix using a mesoscopic simulation-based dynamic user equilibrium model. The interior point conjugate..
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Funding Acknowledgements
The authors gratefully acknowledge the support of TSS group. This study has benefited from the review and comments of Ziyuan Gu and other members of Institute of Transport Studies (ITS) at Monash University. The contents of this paper reflect the views of the authors, who are responsible for the facts and the accuracy of the data presented herein.