Estimation of Dynamic Freeway Origin-Destination Matrices with Cell-Based Arrival Distribution Modeling
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概要
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This paper proposed an integrated algorithm, which combined cell transmission model (CTM) with extended Kalman filtering (EKF) to respectively and iteratively estimate the arrival distributions and O-D proportions. A freeway corridor was used to investigate the capability of CTM in replicating traffic dispersion phenomenon. Results showed that CTM can accurately capture the traffic dispersion under various traffic conditions and that the degree of traffic dispersion gets larger as traffic flow increases. To demonstrate the applicability of the proposed algorithm, a case study of Taiwans freeway was conducted. Results showed that the proposed algorithm can accurately estimate the O-D proportions with rather low RMSE.
著者
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LAN Lawrence
Department of Global Marketing and Logistics, College of Management, MingDao University
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LAN Lawrence
Department of Global Marketing and Logistics; Dean, College of Management, MingDao University
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CHIOU Yu-Chiun
Institute of Traffic and Transportation National Chiao Tung University
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TSENG Chun-Ming
Institute of Traffic and Transportation National Chiao Tung University
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