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To switch travel mode or not? Impact of Smartphone delivered
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IET-ITS(9), No. 4, 2015, pp. 382-390.
DOI Link
1506
mobile computing
BibRef
Jahangiri, A.,
Rakha, H.A.,
Applying Machine Learning Techniques to Transportation Mode
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ITS(16), No. 5, October 2015, pp. 2406-2417.
IEEE DOI
1511
decision trees
BibRef
Assemi, B.,
Safi, H.,
Mesbah, M.,
Ferreira, L.,
Developing and Validating a Statistical Model for Travel Mode
Identification on Smartphones,
ITS(17), No. 7, July 2016, pp. 1920-1931.
IEEE DOI
1608
data privacy
BibRef
Su, X.,
Caceres, H.,
Tong, H.,
He, Q.,
Online Travel Mode Identification Using Smartphones With Battery
Saving Considerations,
ITS(17), No. 10, October 2016, pp. 2921-2934.
IEEE DOI
1610
Global Positioning System
BibRef
Das, R.D.[Rahul Deb],
Winter, S.[Stephan],
Detecting Urban Transport Modes Using a Hybrid Knowledge Driven
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Identifying Different Transportation Modes from Trajectory Data Using
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BibRef
Wang, B.,
Gao, L.,
Juan, Z.,
Travel Mode Detection Using GPS Data and Socioeconomic Attributes
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ITS(19), No. 5, May 2018, pp. 1547-1558.
IEEE DOI
1805
Automobiles, Feature extraction, Global Positioning System,
Public transportation, Smart phones, GPS data, ROC curve,
socioeconomic attributes
BibRef
Ashqar, H.I.,
Almannaa, M.H.,
Elhenawy, M.,
Rakha, H.A.,
House, L.,
Smartphone Transportation Mode Recognition Using a Hierarchical
Machine Learning Classifier and Pooled Features From Time and
Frequency Domains,
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IEEE DOI
1901
Feature extraction, Frequency-domain analysis, Transportation,
Sensors, Time-domain analysis, Global Positioning System,
hierarchical modeling
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Lee, K.J.[Kang-Jae],
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The Effects of GPS-Based Buffer Size on the Association between
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Revoredo, K.[Kate],
Baião, F.[Fernanda],
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A Combined Solution for Real-Time Travel Mode Detection and Trip
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IEEE DOI
2001
Feature extraction, Global Positioning System, Sensors,
Real-time systems, Data collection, Data models, Task analysis,
automated machine learning
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Zhang, Y.,
Wang, G.,
Xu, S.,
A Deep Learning Model for Transportation Mode Detection Based on
Smartphone Sensing Data,
ITS(21), No. 12, December 2020, pp. 5223-5235.
IEEE DOI
2012
Transportation, Accelerometers, Sensors, Gravity, Acceleration,
Deep learning, Data models, Transportation mode, deep learning,
accelerometer
BibRef
Lan, G.,
Xu, W.,
Ma, D.,
Khalifa, S.,
Hassan, M.,
Hu, W.,
EnTrans: Leveraging Kinetic Energy Harvesting Signal for
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ITS(21), No. 7, July 2020, pp. 2816-2827.
IEEE DOI
2007
Transportation, Kinetic energy, Global Positioning System,
Accelerometers, Sensors, Biomedical monitoring, Monitoring,
sparse representation
BibRef
Nawaz, A.[Asif],
Huang, Z.Q.[Zhi-Qiu],
Wang, S.Z.[Sen-Zhang],
Hussain, Y.[Yasir],
Khan, I.[Izhar],
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Convolutional LSTM based transportation mode learning from raw GPS
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IET-ITS(14), No. 6, June 2020, pp. 570-577.
DOI Link
2005
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Yu, J.J.Q.,
Travel Mode Identification With GPS Trajectories Using Wavelet
Transform and Deep Learning,
ITS(22), No. 2, February 2021, pp. 1093-1103.
IEEE DOI
2102
Trajectory, Global Positioning System, Feature extraction,
Data mining, Discrete wavelet transforms, Deep learning,
feature selection
BibRef
Namdarpour, F.[Farnoosh],
Mesbah, M.[Mahmoud],
Gandomi, A.H.[Amir H.],
Assemi, B.[Behrang],
Using genetic programming on GPS trajectories for travel mode
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IET-ITS(16), No. 1, 2022, pp. 99-113.
DOI Link
2112
BibRef
Jiang, G.Y.[Gui-Yuan],
Lam, S.K.[Siew-Kei],
He, P.[Peilan],
Ou, C.H.[Chang-Hai],
Ai, D.[Dihao],
A Multi-Scale Attributes Attention Model for Transport Mode
Identification,
ITS(23), No. 1, January 2022, pp. 152-164.
IEEE DOI
2201
Travel modes based on user trajectories.
Trajectory, Global Positioning System, Feature extraction,
Sensor phenomena and characterization, Smart phones,
neural decision forest
BibRef
Zhu, Y.S.[Yuan-Shao],
Liu, Y.[Yi],
Yu, J.J.Q.[James J. Q.],
Yuan, X.L.[Xing-Liang],
Semi-Supervised Federated Learning for Travel Mode Identification
From GPS Trajectories,
ITS(23), No. 3, March 2022, pp. 2380-2391.
IEEE DOI
2203
Global Positioning System, Trajectory, Data models,
Collaborative work, Feature extraction, Servers, Data privacy,
semi-supervised learning
BibRef
Moreau, H.[Hugues],
Vassilev, A.[Andrea],
Chen, L.M.[Li-Ming],
The Devil is in the Details: An Efficient Convolutional Neural
Network for Transport Mode Detection,
ITS(23), No. 8, August 2022, pp. 12202-12212.
IEEE DOI
2208
Machine learning, Trajectory, Global Positioning System,
Deep learning, Convolutional neural networks, Training
BibRef
Zhu, Y.[Yida],
Luo, H.Y.[Hai-Yong],
Chen, R.[Runze],
Zhao, F.[Fang],
Guo, S.[Song],
MSCPT: Toward Cross-Place Transportation Mode Recognition Based on
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ITS(23), No. 8, August 2022, pp. 12588-12600.
IEEE DOI
2208
Transportation, Feature extraction, Data models, Navigation,
Computational modeling, Bagging, Accelerometers, Cross-place,
data augmentation
BibRef
Liu, Z.Y.[Zhi-Yuan],
Wang, Y.[Yunshan],
Cheng, Q.X.[Qi-Xiu],
Yang, H.[Hai],
Analysis of the Information Entropy on Traffic Flows,
ITS(23), No. 10, October 2022, pp. 18012-18023.
IEEE DOI
2210
Entropy, Uncertainty, Standards, Information entropy, Indexes,
Data models, Analytical models, Information entropy, uncertainty,
speed entropy
BibRef
Zeng, J.Q.[Jia-Qi],
Zhang, G.Z.[Guo-Zheng],
Hu, Y.W.[You-Wei],
Wang, D.H.[Dian-Hai],
Addressing robust travel mode identification with individual
trip-chain trajectory noise reduction,
IET-ITS(17), No. 1, 2023, pp. 129-143.
DOI Link
2301
BibRef
Alam, M.G.R.[Md. Golam Rabiul],
Haque, M.[Mahmudul],
Hassan, M.R.[Md. Rafiul],
Huda, S.[Shamsul],
Hassan, M.M.[Mohammad Mehedi],
Strickland, F.L.[Fred L.],
Al Qahtani, S.A.[Salman A.],
Feature Cloning and Feature Fusion Based Transportation Mode
Detection Using Convolutional Neural Network,
ITS(24), No. 4, April 2023, pp. 4671-4681.
IEEE DOI
2304
Feature extraction, Transportation, Sensors, Trajectory,
Sensor systems, Global Positioning System, Smart phones, data augmentation
BibRef
Lai, Z.L.[Zhi-Lin],
Wang, J.[Jing],
Zheng, J.J.[Jun-Jie],
Ding, Y.X.[Yu-Xing],
Wang, C.[Cheng],
Zhang, H.Z.[Hui-Zhen],
Travel mode choice prediction based on personalized recommendation
model,
IET-ITS(17), No. 4, 2023, pp. 667-677.
DOI Link
2304
BibRef
Jiang, Z.H.[Zhi-Huan],
Huang, A.[Ailing],
Qi, G.[Geqi],
Guan, W.[Wei],
A Framework of Travel Mode Identification Fusing Deep Learning and
Map-Matching Algorithm,
ITS(24), No. 6, June 2023, pp. 6401-6415.
IEEE DOI
2306
Hidden Markov models, Trajectory, Poles and towers, Data integrity,
Urban areas, Global Positioning System, Cleaning, Deep learning,
travel mode identification
BibRef
Tang, L.[Li],
Tang, C.[Chuanli],
Fu, Q.[Qi],
Ma, C.X.[Chang-Xi],
Predicting travel mode choice with a robust neural network and
Shapley additive explanations analysis,
IET-ITS(18), No. 7, 2024, pp. 1339-1354.
DOI Link
2407
behavioural sciences computing, demand forecasting,
feature selection, neural network interpretability
BibRef
Zeng, J.Q.[Jia-Qi],
Huang, Y.[Yulang],
Zhang, G.Z.[Guo-Zheng],
Cai, Z.Y.[Zheng-Yi],
Wang, D.[Dianhai],
Travel Mode Identification for Non-Uniform Passive Mobile Phone Data,
ITS(25), No. 9, September 2024, pp. 11103-11116.
IEEE DOI
2409
Trajectory, Global Positioning System, Data models,
Mobile handsets, Task analysis, Training, Motion segmentation,
sequence-to-sequence model
BibRef
Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Shared Ride Systems, Car Sharing, Taxi, Analysis .