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 …
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 …
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 …
Detecting transportation modes with low-power-consumption sensors using recurrent neural network
With the quick development of mobile Internet and the popularity of smartphones,
smartphone-based transportation mode detection has become a hot topic, which is able to …
smartphone-based transportation mode detection has become a hot topic, which is able to …
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 …
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 …
Breaking the limits of transportation mode detection: Applying deep learning approach with knowledge-based features
J Iskanderov, MA Guvensan - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
Activity recognition and transportation mode detection are the key research areas for context-
aware systems. In smart environments such as cities, buildings, transportation systems etc …
aware systems. In smart environments such as cities, buildings, transportation systems etc …
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 …
Energy harvesting-based smart transportation mode detection system via attention-based LSTM
Detecting the transportation mode of an individual's everyday travel provides useful
information in urban design, real-time journey planning, and activity monitoring. In existing …
information in urban design, real-time journey planning, and activity monitoring. In existing …
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 …