Mass Rapid Transit System Passenger Traffic Forecast Using a Re-Sample Recurrent Neural Network
In this study, we developed a model re-sample Recurrent Neural Network (RRNN) to forecast passenger traffic on Mass Rapid Transit Systems (MRT). The Recurrent Neural Network was applied to build a model to perform passenger traffic prediction, where the forecast task was transformed into a classific...
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Main Authors: | Rong Hu, Yi-Chang Chiu, Chih-Wei Hsieh, Tang-Hsien Chang, Xingsi Xue, Fumin Zou, Lyuchao Liao |
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Format: | Article |
Language: | English |
Published: |
Wiley
2019-01-01
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Series: | Journal of Advanced Transportation |
Online Access: | http://dx.doi.org/10.1155/2019/8943291 |
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