A review of GPS trajectories classification based on transportation mode
GPS trajectories generated by moving objects provide researchers with an excellent
resource for revealing patterns of human activities. Relevant research based on GPS …
resource for revealing patterns of human activities. Relevant research based on GPS …
Transport behavior-mining from smartphones: a review
Background Although people and smartphones have become almost inseparable,
especially during travel, smartphones still represent a small fraction of a complex multi …
especially during travel, smartphones still represent a small fraction of a complex multi …
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 …
positioning system (GPS) trajectory data is produced by many moving devices. Learning …
Developing a passive GPS tracking system to study long-term travel behavior
This paper describes development and testing of a passive GPS tracking smartphone
application and corresponding data analysis methodology designed to increase the quality …
application and corresponding data analysis methodology designed to increase the quality …
A novel one-stage approach for pointwise transportation mode identification inspired by point cloud processing
Transportation mode identification is fundamental for transportation planning and
management. With the popularization of ubiquitous GPS-enabled devices, leveraging …
management. With the popularization of ubiquitous GPS-enabled devices, leveraging …
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 …
Transportation mode detection by using smartphones and smartwatches with machine learning
Abstract Transportation Mode Detection (TMD) is important in planning new transportation
projects as well as improving existing ones. Therefore, this study aims to develop predictive …
projects as well as improving existing ones. Therefore, this study aims to develop predictive …
A multi-stage fusion network for transportation mode identification with varied scale representation of GPS trajectories
Accurate transportation mode identification is essential for traffic management and travel
planning. The rapid development of GPS-enabled devices has made it both popular and …
planning. The rapid development of GPS-enabled devices has made it both popular and …
Automatic physical activity and in‐vehicle status classification based on GPS and accelerometer data: A hierarchical classification approach using machine learning …
Due to the advancement of tracking technology, a large quantity of movement data has been
collected and analyzed in various research domains. In human mobility and physical activity …
collected and analyzed in various research domains. In human mobility and physical activity …
Routing games in the wild: Efficiency, equilibration, regret, and a price of anarchy bound via long division
Routing games are amongst the most well studied domains of game theory. How relevant
are these pen-and-paper calculations to understanding the reality of everyday traffic …
are these pen-and-paper calculations to understanding the reality of everyday traffic …