Title: Dynamic Origin-Destination Matrix Estimation on Large-Scale Congested Networks Using A Hierarchical Decomposition Scheme
Authors: Frederix, Rodric ×
Viti, Francesco
Himpe, Willem
Tampère, Chris #
Issue Date: 28-Feb-2014
Publisher: Taylor and Francis, Inc.
Series Title: Journal of Intelligent Transportation Systems vol:18 issue:1 pages:51-66
Abstract: Despite the ever increasing computing power, dynamic Origin-Destination (OD) estimation in congested networks remains troublesome. In previous research, we have shown that an unbiased estimation requires the calculation of the sensitivity of the link flows to all Origin Destination flows, in order to incorporate the effects of congestion spillback. This is however computationally infeasible for large-scale networks. To overcome this issue, we propose a hierarchical approach for off-line application that decomposes the dynamic OD estimation procedure in space. The main idea is to perform a more accurate dynamic OD estimation only on subareas where there is congestion spillback. The output of this estimation is then used as input for the OD estimation on the whole network. This hierarchical approach solves many practical and theoretical limitations of traditional OD estimation methods. The main advantage is that different OD estimation method can be used for different parts of the network as necessary. This allows applying more advanced and accurate, but more time consuming methods only where necessary. The hierarchical approach is tested on a study network and on a real network. In both cases the proposed methodology performs better than traditional OD estimation approaches, indicating its merit.
ISSN: 1547-2450
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Centre for Industrial Management / Traffic & Infrastructure
× corresponding author
# (joint) last author

Files in This Item:
File Description Status SizeFormat
JITS - 2013 - OD estimation.pdf Submitted 2656KbAdobe PDFView/Open Request a copy

These files are only available to some KU Leuven Association staff members


All items in Lirias are protected by copyright, with all rights reserved.

© Web of science