Estimation of dynamic origin-destination trip tables for a general network
In this paper, we propose a parametric optimization approach to estimate time-dependent path flows, or origin-destination (OD) trip tables, using available data on link traffic volumes for a general road network. Our model assumes knowledge of certain time-dependent link flow contribution factors that are a dynamic generalization of the path-link incidence matrix for the static case. A least squares model is accordingly formulated to determine the time-dependent trip tables. We develop a column generation approach that uses a sequence of dynamic shortest path subproblems in order to solve this problem. Computational results are presented on several variants of two sample test networks from the literature.
Year of publication: |
2001
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Authors: | Sherali, Hanif D. ; Park, Taehyung |
Published in: |
Transportation Research Part B: Methodological. - Elsevier, ISSN 0191-2615. - Vol. 35.2001, 3, p. 217-235
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Publisher: |
Elsevier |
Saved in:
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