Semi-Supervised Deep Learning Approach for Transportation Mode Identification Using GPS Trajectory Data

Semi-Supervised Deep Learning Approach for Transportation Mode Identification Using GPS Trajectory Data

Identification of travelers' transportation modes is a fundamental step for various problems that arise in the domain of transportation such as travel demand analysis, transport planning, and traffic management. This thesis aims to identify travelers' transportation modes purely based on t...

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Bibliographic Details
Main Author: Dabiri, Sina
Other Authors: Computer Science
Format: Others
Language:en_US
Published: Virginia Tech 2019
Subjects:
Deep learning
semi-supervised learning
convolutional neural network
convolutional autoencoder
GPS trajectory data
Machine Learning
Travel Mode Detection
Online Access:http://hdl.handle.net/10919/86845

Internet

http://hdl.handle.net/10919/86845

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