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Aug 12, 2020
Passenger Flow Estimation of Urban Rail Transit Section Based on Cluster Analysis
Authors: Gang Ren [email protected], Xing Zhu [email protected], and Qi Cao [email protected]Author Affiliations
Publication: CICTP 2020
ABSTRACT
Recently, the urban rail transit enters the era of network operation and there may be multiple paths between two stations for passengers to choose. This paper takes Nanjing metro as an example, based on the historical data of the AFC system. Based on the historical data of the AFC system, the OD passenger flow of each period is allocated to the effective path set by combining the clustering analysis method and attraction coefficient method. By iterating the passenger flow in each section of the urban rail transit network, the real-time estimation of cross-section passenger flow is realized.
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© 2020 American Society of Civil Engineers.
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Published online: Aug 12, 2020
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1Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, School of Transportation, Southeast Univ., Jiulonghu Campus, Nanjing 210096, PR China. Email: [email protected]
2Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, School of Transportation, Southeast Univ., Jiulonghu Campus, Nanjing 210096, PR China. Email: [email protected]
3Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, School of Transportation, Southeast Univ., Jiulonghu Campus, Nanjing 210096, PR China. Email: [email protected]
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