Abstract
In this paper, LSTM is proposed to predict metro passengers flow to avoid traffic jams for the city governors. The model is validated by manual counted data and the results show that LSTM can report an instructive prediction.
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APA
Hu, Z., Zuo, Y., Xue, Z., Ma, W., & Zhang, G. (2018). Predicting the metro passengers flow by long-short term memory. In Lecture Notes in Electrical Engineering (Vol. 474, pp. 591–595). Springer Verlag. https://doi.org/10.1007/978-981-10-7605-3_97
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