LSTM network for transportation mode detection
Abstract The study of Transportation Mode Detection (TMD) has become a popular research
field in recent years. It will be a crucial part of Smart mobility and Smart cities in upcoming …
field in recent years. It will be a crucial part of Smart mobility and Smart cities in upcoming …
A deep learning model for transportation mode detection based on smartphone sensing data
Understanding people's transportation modes is beneficial for empowering many intelligent
transportation systems, such as supporting urban transportation planning. Yet, current …
transportation systems, such as supporting urban transportation planning. Yet, current …
Toward transportation mode recognition using deep convolutional and long short-term memory recurrent neural networks
With the rapid development of mobile Internet techniques, using the sensor-rich
smartphones to sense various contexts attracts much attention, such as transportation mode …
smartphones to sense various contexts attracts much attention, such as transportation mode …
A novel input set for LSTM-based transport mode detection
G Asci, MA Guvensan - 2019 IEEE International Conference on …, 2019 - ieeexplore.ieee.org
The capability of mobile phones are increasing with the development of hardware and
software technology. Especially sensors on smartphones enable to collect environmental …
software technology. Especially sensors on smartphones enable to collect environmental …
Combining residual and LSTM recurrent networks for transportation mode detection using multimodal sensors integrated in smartphones
In recent years, with the rapid development of public transportation, the ways people travel
has become more diversified and complicated. Transportation mode detection, as a …
has become more diversified and complicated. Transportation mode detection, as a …
Transportation mode detection on mobile devices using recurrent nets
We present an approach to the use of Recurrent Neural Networks (RNN) for transportation
mode detection (TMD) on mobile devices. The proposed model, called Control Gate-based …
mode detection (TMD) on mobile devices. The proposed model, called Control Gate-based …
A convolutional neural network for transportation mode detection based on smartphone platform
Knowledge of people's transportation mode is important in many civilian areas, such as
urban transportation planning. Current methodologies in collecting travelers' transportation …
urban transportation planning. Current methodologies in collecting travelers' transportation …
Transportation mode recognition with deep forest based on GPS data
M Guo, S Liang, L Zhao, P Wang - IEEE Access, 2020 - ieeexplore.ieee.org
Transportation mode recognition (TMR) is a common but critical task in the human behavior
research field, which provides decision support for urban traffic planning, public facility …
research field, which provides decision support for urban traffic planning, public facility …
A novel segment-based approach for improving classification performance of transport mode detection
Transportation planning and solutions have an enormous impact on city life. To minimize the
transport duration, urban planners should understand and elaborate the mobility of a city …
transport duration, urban planners should understand and elaborate the mobility of a city …
Detecting transportation modes using deep neural network
H Wang, GJ Liu, J Duan, L Zhang - IEICE TRANSACTIONS on …, 2017 - search.ieice.org
Existing studies on transportation mode detection from global positioning system (GPS)
trajectories mainly adopt handcrafted features. These features require researchers with a …
trajectories mainly adopt handcrafted features. These features require researchers with a …