GPS Trajectory Completion Using End-to-End Bidirectional Convolutional Recurrent Encoder-Decoder Architecture with Attention Mechanism

GPS Trajectory Completion Using End-to-End Bidirectional Convolutional Recurrent Encoder-Decoder Architecture with Attention Mechanism

GPS datasets in the big data regime provide rich contextual information that enable efficient implementation of advanced features such as navigation, tracking, and security in urban computing systems. Understanding the hidden patterns in large amount of GPS data is critically important in ubiquitous...

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Bibliographic Details
Main Authors: Asif Nawaz, Zhiqiu Huang, Senzhang Wang, Azeem Akbar, Hussain AlSalman, Abdu Gumaei
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Sensors
Subjects:
GPS trajectory
ConvLSTM
encoder-decoder
attention
trajectory completion
Online Access:https://www.mdpi.com/1424-8220/20/18/5143

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