Subnetwork Origin-Destination Matrix Estimation Under Travel Demand Constraints

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Abstract

This paper proposes a subnetwork origin-destination (OD) matrix estimation model under travel demand constraints (SME-DC) that explicitly considers both internal-external subnetwork connections and OD demand consistency between the subnetwork and full network. This new model uses the maximum entropy of OD demands as the objective function and uses the total traffic generations (attractions) along with some fixed OD demands of the subnetwork OD nodes as the constraints. The total traffic generations and attractions along with the fixed OD demands of the subnetwork OD nodes are obtained through an OD node transformation and subnetwork topology analysis. For solving the proposed model, a convex combination method is used to convert the nonlinear SME-DC to the classical linear transportation problem, and a tabular method is used to solve the transportation problem. The Sioux Falls network and Kunshan network were provided to illustrate the essential ideas of the proposed model and the applicability of the proposed solution algorithm.

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Sun, C., Chang, Y., Shi, Y., Cheng, L., & Ma, J. (2019). Subnetwork Origin-Destination Matrix Estimation Under Travel Demand Constraints. Networks and Spatial Economics, 19(4), 1123–1142. https://doi.org/10.1007/s11067-019-09449-6

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