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Title: New gradient approximation method for dynamic origin-destination matrix estimation on congested networks
Authors: Frederix, Rodric ×
Viti, Francesco
Corthout, Ruben
Tampère, Chris #
Issue Date: 2011
Publisher: Transportation Research Board, Commission on Sociotechnical Systems, National Research Council, National Academy of Sciences
Series Title: Transportation Research Record vol:2263 pages:19-25
Abstract: In origin-destination (OD) estimation methods the relationship between the link flows and OD flows is typically approximated by a linear function described by the assignment matrix corresponding with the current estimate of the OD flows. However, this relationship implicitly assumes the link flows to be separable, which leads to biased results in congested networks. We suggest the use of a different linear approximation of the relationship between OD flows and link flows that takes into account that link flows are non-separable. However, deriving this relationship is cumbersome in terms of computation time. In the present paper, we propose to use Marginal Computation (MaC), a computationally efficient method that performs a perturbation analysis using Kinematic Wave Theory principles, to derive this relationship. The use of MaC for dynamic OD estimation 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: 0361-1981
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Centre for Industrial Management / Traffic & Infrastructure
× corresponding author
# (joint) last author

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