Short-Term Prediction of Bus Passenger Flow Based on a Hybrid Optimized LSTM Network

Short-Term Prediction of Bus Passenger Flow Based on a Hybrid Optimized LSTM Network

The accurate prediction of bus passenger flow is the key to public transport management and the smart city. A long short-term memory network, a deep learning method for modeling sequences, is an efficient way to capture the time dependency of passenger flow. In recent years, an increasing number of...

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Bibliographic Details
Main Authors:	Yong Han, Cheng Wang, Yibin Ren, Shukang Wang, Huangcheng Zheng, Ge Chen
Format:	Article
Language:	English
Published:	MDPI AG 2019-08-01
Series:	ISPRS International Journal of Geo-Information
Subjects:	passenger flow short-term prediction long short-term memory network hybrid optimization algorithm
Online Access:	https://www.mdpi.com/2220-9964/8/9/366

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