Transportation mode detection using temporal convolutional networks based on sensors integrated into smartphones
P Wang, Y Jiang - Sensors, 2022 - mdpi.com
In recent years, with the development of science and technology, people have more and
more choices for daily travel. However, assisting with various mobile intelligent services by …
more choices for daily travel. However, assisting with various mobile intelligent services by …
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 combining CNN and vision transformer with sensors recalibration using smartphone built-in sensors
Y Tian, D Hettiarachchi, S Kamijo - Sensors, 2022 - mdpi.com
Transportation Mode Detection (TMD) is an important task for the Intelligent Transportation
System (ITS) and Lifelog. TMD, using smartphone built-in sensors, can be a low-cost and …
System (ITS) and Lifelog. TMD, using smartphone built-in sensors, can be a low-cost and …
GLMLP-TRANS: A transportation mode detection model using lightweight sensors integrated in smartphones
X Liu - Computer Communications, 2022 - Elsevier
Transportation mode detection (TMD), as an essential part of Intelligent Transportation
Systems, aims at analyzing human current transportation activities, and can be widely …
Systems, aims at analyzing human current transportation activities, and can be widely …
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 …
Convolutional neural network-based travel mode recognition based on multiple smartphone sensors
Nowadays, large-scale human mobility has led to increasingly severe traffic congestion in
cities, how to accurately identify people's travel mode has become particularly important for …
cities, how to accurately identify people's travel mode has become particularly important for …
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 …
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 …
Deep CNN-BiLSTM model for transportation mode detection using smartphone accelerometer and magnetometer
Transportation mode detection from smartphone data is investigated as a relevant problem
in the multi-modal transportation systems context. Neural networks are chosen as a timely …
in the multi-modal transportation systems context. Neural networks are chosen as a timely …