Research on Prediction and Optimization of Airport Express Passenger Flow Based on Fusion Intelligence Network Model

Research on Prediction and Optimization of Airport Express Passenger Flow Based on Fusion Intelligence Network Model

The purpose of this paper is to optimize the accuracy of airport express passenger flow prediction so as to meet the need for the optimal allocation of traffic resources against the background of accelerated urbanization and the rapid development of airport express services. A fusion intelligence ne...

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Bibliographic Details
Main Authors:	Jin He, Yinzhen Li, Yuhong Chao
Format:	Article
Language:	English
Published:	MDPI AG 2024-12-01
Series:	Applied Sciences
Subjects:	passenger flow forecast fusion intelligence network model convolutional neural networks bidirectional long short-term memory networks gated recurrent units
Online Access:	https://www.mdpi.com/2076-3417/14/24/11886
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