Inferring Travel Modes from Cellular Signaling Data Based on the Gated Recurrent Unit Neural Network

Inferring Travel Modes from Cellular Signaling Data Based on the Gated Recurrent Unit Neural Network

Cellular signaling data have become increasingly indispensable in analyzing residents’ travel characteristic. Especially with the enhancement of positioning quality in 4G-LTE and 5G wireless communication systems, it is expected that the identification accuracy of fine-grained travel modes will achi...

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Bibliographic Details
Main Authors:	Yanchen Wang, Fei Yang, Li He, Haode Liu, Li Tan, Cheng Wang
Format:	Article
Language:	English
Published:	Wiley 2023-01-01
Series:	Journal of Advanced Transportation
Online Access:	http://dx.doi.org/10.1155/2023/1987210
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