Robust Federated Learning Approach for Travel Mode Identification from Non-IID GPS Trajectories

2020 IEEE 26th International Conference on Parallel and Distributed Systems (ICPADS) ◽

10.1109/icpads51040.2020.00081 ◽

2020 ◽

Author(s):

Yuanshao Zhu ◽

Shuyu Zhang ◽

Yi Liu ◽

Dusit Niyato ◽

James J.Q. Yu

Keyword(s):

Learning Approach ◽

Travel Mode ◽

Mode Identification ◽

Gps Trajectories

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MultiMix: A Multi-Task Deep Learning Approach for Travel Mode Identification with Few GPS Data

2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC) ◽

10.1109/itsc45102.2020.9294272 ◽

2020 ◽

Author(s):

Xiaozhuang Song ◽

Christos Markos ◽

James J.Q. Yu

Keyword(s):

Deep Learning ◽

Gps Data ◽

Learning Approach ◽

Travel Mode ◽

Mode Identification

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Semi-Supervised Federated Learning for Travel Mode Identification From GPS Trajectories

IEEE Transactions on Intelligent Transportation Systems ◽

10.1109/tits.2021.3092015 ◽

2021 ◽

pp. 1-12

Author(s):

Yuanshao Zhu ◽

Yi Liu ◽

James J. Q. Yu ◽

Xingliang Yuan

Keyword(s):

Travel Mode ◽

Mode Identification ◽

Gps Trajectories

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Travel Mode Identification With GPS Trajectories Using Wavelet Transform and Deep Learning

IEEE Transactions on Intelligent Transportation Systems ◽

10.1109/tits.2019.2962741 ◽

2020 ◽

pp. 1-11 ◽

Author(s):

James J. Q. Yu

Keyword(s):

Deep Learning ◽

Wavelet Transform ◽

Travel Mode ◽

Mode Identification ◽

Gps Trajectories

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Interpretation of contextual influences with explanatory tools: Travel mode likelihood mapping using GPS trajectories

Transactions in GIS ◽

10.1111/tgis.12729 ◽

2021 ◽

Author(s):

Kangjae Lee ◽

Mei‐Po Kwan

Keyword(s):

Contextual Influences ◽

Travel Mode ◽

Gps Trajectories ◽

Likelihood Mapping

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A machine learning approach to the prediction of individual travel mode choices

Journal of the Korean Data and Information Science Society ◽

10.7465/jkdi.2019.30.5.1011 ◽

2019 ◽

Vol 30 (5) ◽

pp. 1011-1024

Author(s):

Youngho Lee ◽

Seong-Yun Hong

Keyword(s):

Machine Learning ◽

Learning Approach ◽

Travel Mode ◽

Machine Learning Approach

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Travel mode identification using bluetooth technology

Journal of Intelligent Transportation Systems ◽

10.1080/15472450.2017.1384698 ◽

2017 ◽

Vol 22 (5) ◽

pp. 407-421 ◽

Author(s):

Shu Yang ◽

Yao-Jan Wu

Keyword(s):

Travel Mode ◽

Mode Identification

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Using genetic programming on GPS trajectories for travel mode detection

IET Intelligent Transport Systems ◽

10.1049/itr2.12132 ◽

2021 ◽

Author(s):

Farnoosh Namdarpour ◽

Mahmoud Mesbah ◽

Amir H. Gandomi ◽

Behrang Assemi

Keyword(s):

Genetic Programming ◽

Travel Mode ◽

Mode Detection ◽

Gps Trajectories

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

IEEE Transactions on Knowledge and Data Engineering ◽

10.1109/tkde.2019.2896985 ◽

2020 ◽

Vol 32 (5) ◽

pp. 1010-1023 ◽

Author(s):

Sina Dabiri ◽

Chang-Tien Lu ◽

Kevin Heaslip ◽

Chandan K. Reddy

Keyword(s):

Deep Learning ◽

Learning Approach ◽

Trajectory Data ◽

Transportation Mode ◽

Mode Identification ◽

Gps Trajectory Data ◽

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Improving Transportation Mode Identification with Limited GPS Trajectories

10.1109/ictai52525.2021.00104 ◽

2021 ◽

Author(s):

Yuanshao Zhu ◽

Christos Markos ◽

James J.Q. Yu

Keyword(s):

Transportation Mode ◽

Mode Identification ◽

Gps Trajectories

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Towards Crowdsourced Transportation Mode Identification: A Semi-Supervised Federated Learning Approach

IEEE Internet of Things Journal ◽

10.1109/jiot.2021.3132056 ◽

2021 ◽

pp. 1-1

Author(s):

Chenhan Zhang ◽

Yuanshao Zhu ◽

Christos Markos ◽

Shui Yu ◽

James J.Q. Yu

Keyword(s):

Learning Approach ◽

Transportation Mode ◽

Mode Identification

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