Inferring transportation modes from GPS trajectories using a convolutional neural network

S Dabiri, K Heaslip - Transportation research part C: emerging …, 2018 - Elsevier
Identifying the distribution of users' transportation modes is an essential part of travel
demand analysis and transportation planning. With the advent of ubiquitous GPS-enabled …

[HTML][HTML] A review of GPS trajectories classification based on transportation mode

X Yang, K Stewart, L Tang, Z ** with imbalanced data
AB Parsa, H Taghipour, S Derrible… - Accident Analysis & …, 2019 - Elsevier
Detecting accidents is of great importance since they often impose significant delay and
inconvenience to road users. This study compares the performance of two popular machine …

[HTML][HTML] Identifying different transportation modes from trajectory data using tree-based ensemble classifiers

Z **ao, Y Wang, K Fu, F Wu - ISPRS International Journal of Geo …, 2017 - mdpi.com
Recognition of transportation modes can be used in different applications including human
behavior research, transport management and traffic control. Previous work on …

A ship movement classification based on Automatic Identification System (AIS) data using Convolutional Neural Network

X Chen, Y Liu, K Achuthan, X Zhang - Ocean Engineering, 2020 - Elsevier
With a wide use of AIS data in maritime transportation, there is an increasing demand to
develop algorithms to efficiently classify a ship's AIS data into different movements (static …

Semi-supervised deep learning approach for transportation mode identification using GPS trajectory data

S Dabiri, CT Lu, K Heaslip… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
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 …

Semi-supervised federated learning for travel mode identification from GPS trajectories

Y Zhu, Y Liu, JQ James, X Yuan - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
GPS trajectories serve as a significant data source for travel mode identification along with
the development of various GPS-enabled smart devices. However, such data directly …

Classifying transportation mode and speed from trajectory data via deep multi-scale learning

R Zhang, P **e, C Wang, G Liu, S Wan - Computer Networks, 2019 - Elsevier
With the rapid development of mobile Internet, the Internet of Things and other new
technologies, mobile devices are generating massive amounts of spatio-temporal trajectory …

Ensemble convolutional neural networks for mode inference in smartphone travel survey

A Yazdizadeh, Z Patterson… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
We develop ensemble convolutional neural networks (CNNs) to classify the transportation
mode of trip data collected as part of a large-scale smartphone travel survey in Montreal …

Convolutional LSTM based transportation mode learning from raw GPS trajectories

A Nawaz, H Zhiqiu, W Senzhang… - IET Intelligent …, 2020 - Wiley Online Library
With the advancement of location acquisition technologies, a large amount of raw global
positioning system (GPS) trajectory data is produced by many moving devices. Learning …