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• W2023142851 abstract "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." @default.
• W2023142851 created "2016-06-24" @default.
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• W2023142851 date "2001-03-01" @default.
• W2023142851 modified "2023-10-13" @default.
• W2023142851 title "Estimation of dynamic origin–destination trip tables for a general network" @default.
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• W2023142851 doi "https://doi.org/10.1016/s0191-2615(99)00048-x" @default.
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