GeoSDVA: A Semi-Supervised Dirichlet Variational Autoencoder Model for Transportation Mode Identification

GeoSDVA: A Semi-Supervised Dirichlet Variational Autoencoder Model for Transportation Mode Identification

Inferring the transportation modes of travelers is an essential part of intelligent transportation systems. With the development of mobile services, it is easy to effectively obtain massive location readings of travelers with GPS-enabled smart devices, such as smartphones. These readings make unders...

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Bibliographic Details
Main Authors:	Xiaoxi Zhang, Yuan Gao, Xin Wang, Jun Feng, Yan Shi
Format:	Article
Language:	English
Published:	MDPI AG 2022-04-01
Series:	ISPRS International Journal of Geo-Information
Subjects:	transportation mode identification deep learning semi-supervised learning variational autoencoder
Online Access:	https://www.mdpi.com/2220-9964/11/5/290

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