Toward Transportation Mode Recognition Using Deep Convolutional and Long Short-Term Memory Recurrent Neural Networks

Toward Transportation Mode Recognition Using Deep Convolutional and Long Short-Term Memory Recurrent Neural Networks

With the rapid development of mobile Internet techniques, using the sensor-rich smartphones to sense various contexts attracts much attention, such as transportation mode recognition. The transportation mode information can help to improve urban planning, traffic management and journey planning. Tho...

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Bibliographic Details
Main Authors: Yanjun Qin, Haiyong Luo, Fang Zhao, Chenxing Wang, Jiaqi Wang, Yuexia Zhang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Mobile sensing
context-aware
transportation mode recognition
CNN
LSTM
Online Access:https://ieeexplore.ieee.org/document/8853261/

Internet

https://ieeexplore.ieee.org/document/8853261/

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