A review of GPS trajectories classification based on transportation mode

X Yang, K Stewart, L Tang, Z Xie, Q Li - Sensors, 2018 - mdpi.com
GPS trajectories generated by moving objects provide researchers with an excellent
resource for revealing patterns of human activities. Relevant research based on GPS …

Transport behavior-mining from smartphones: a review

V Servizi, FC Pereira, MK Anderson… - … transport research review, 2021 - Springer
Background Although people and smartphones have become almost inseparable,
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 …

Developing a passive GPS tracking system to study long-term travel behavior

AD Marra, H Becker, KW Axhausen… - … research part C: emerging …, 2019 - Elsevier
This paper describes development and testing of a passive GPS tracking smartphone
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

R Li, Z Yang, X Pei, Y Yue, S Jia, C Han, Z He - … Research Part C …, 2023 - Elsevier
Transportation mode identification is fundamental for transportation planning and
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 …

Transportation mode detection by using smartphones and smartwatches with machine learning

RA Hasan, H Irshaid, F Alhomaidat, S Lee… - KSCE Journal of Civil …, 2022 - Springer
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 …

A multi-stage fusion network for transportation mode identification with varied scale representation of GPS trajectories

Y Ma, X Guan, J Cao, H Wu - Transportation Research Part C: Emerging …, 2023 - Elsevier
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 …

Automatic physical activity and in‐vehicle status classification based on GPS and accelerometer data: A hierarchical classification approach using machine learning …

K Lee, MP Kwan - Transactions in GIS, 2018 - Wiley Online Library
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 …

Routing games in the wild: Efficiency, equilibration, regret, and a price of anarchy bound via long division

B Monnot, F Benita, G Piliouras - ACM Transactions on Economics and …, 2022 - dl.acm.org
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 …