[HTML][HTML] Review and evaluation of methods in transport mode detection based on GPS tracking data
Mobility data, based on global positioning system (GPS) tracking, have been widely used in
many areas, such as analyzing travel patterns, investigating transport safety and efficiency …
many areas, such as analyzing travel patterns, investigating transport safety and efficiency …
TrajGAIL: Generating urban vehicle trajectories using generative adversarial imitation learning
Recently, an abundant amount of urban vehicle trajectory data has been collected in road
networks. Many studies have used machine learning algorithms to analyze patterns in …
networks. Many studies have used machine learning algorithms to analyze patterns in …
[HTML][HTML] Transportation Mode Detection Using Learning Methods and Self-Contained Sensors
I Gharbi, F Taia-Alaoui, H Fourati, N Vuillerme, Z Zhou - Sensors, 2024 - mdpi.com
Due to increasing traffic congestion, travel modeling has gained importance in the
development of transportion mode detection (TMD) strategies over the past decade …
development of transportion mode detection (TMD) strategies over the past decade …
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 …
A spatial–temporal graph-based AI model for truck loan default prediction using large-scale GPS trajectory data
L Chen, S Ma, C Li, Y Yang, W Wei, R Cui - Transportation Research Part E …, 2024 - Elsevier
With the increasing uncertainties in freight transportation, truck loans are playing a crucial
role in the stability and development of the logistics industry. A pivotal problem to truck loan …
role in the stability and development of the logistics industry. A pivotal problem to truck loan …
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 …
User and period independent transportation mode detection for wheelchair users
Transportation mode detection (TMD) is an important research area in human activity
recognition. It can improve the mobility and accessibility of people by providing a better …
recognition. It can improve the mobility and accessibility of people by providing a better …
The smartphone-based person travel survey system: data collection, trip extraction, and travel mode detection
Travel data is vital for understanding individual travel behaviors and estimating travel
demand. Compared with traditional travel surveys in which respondents were asked to recall …
demand. Compared with traditional travel surveys in which respondents were asked to recall …
A multi-scale attributes fusion model for travel mode identification using GPS trajectories
K Fan, D Li, X Jin, S Wu - Geo-spatial Information Science, 2024 - Taylor & Francis
Travel mode recognition is a key issue in urban planning and transportation research. While
traditional travel surveys use manual data collection and have limited coverage, poor …
traditional travel surveys use manual data collection and have limited coverage, poor …
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 …