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A Multimodal Hierarchical-based Assignment Model for Integrated Transportation Networks
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Abstract

A hierarchical network and traffic assignment model is developed for multimodal transportation networks to meet the prediction of large-scale transportation demand in this paper. In the proposed model, the city center and transportation terminal of different modes are defined as central nodes and transfer nodes respectively to characterize travel behavior of passengers. The generalized cost function and route choice algorithm are also correspondingly improved to suit the proposed model. A computer-aided demand model is also developed to efficiently attain the analysis results for large-scale transportation networks. The applicability and availability of the demand model is illustrated by the case studies over Jing-Hu high speed railway in China.

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