Modelling the Publishing Process of Big Location Data Using Deep Learning Prediction Methods

Modelling the Publishing Process of Big Location Data Using Deep Learning Prediction Methods

Centralized publishing of big location data can provide accurate and timely information to assist in traffic management and for facilitating people to decide travel time and route, mitigate traffic congestion, and reduce unnecessary waste. However, the spatio-temporal correlation, non-linearity, ran...

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Bibliographic Details
Main Authors: Yan Yan, Bingqian Wang, Quan Z. Sheng, Adnan Mahmood, Tao Feng, Pengshou Xie
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Electronics
Subjects:
big location data
publishing interval prediction
deep learning
adaptive adjusted sampling
modwt decomposition
Online Access:https://www.mdpi.com/2079-9292/9/3/420

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https://www.mdpi.com/2079-9292/9/3/420

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