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Inferring transportation modes from GPS trajectories using a convolutional neural network
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 …
demand analysis and transportation planning. With the advent of ubiquitous GPS-enabled …
[HTML][HTML] A review of GPS trajectories classification based on transportation mode
[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 …
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
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 …
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
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 …
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
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 …
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
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 …
technologies, mobile devices are generating massive amounts of spatio-temporal trajectory …
Ensemble convolutional neural networks for mode inference in smartphone travel survey
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 …
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
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 …
positioning system (GPS) trajectory data is produced by many moving devices. Learning …