Deep learning for trajectory data management and mining: A survey and beyond
Trajectory computing is a pivotal domain encompassing trajectory data management and
mining, garnering widespread attention due to its crucial role in various practical …
mining, garnering widespread attention due to its crucial role in various practical …
[HTML][HTML] MobilityDL: a review of deep learning from trajectory data
Trajectory data combines the complexities of time series, spatial data, and (sometimes
irrational) movement behavior. As data availability and computing power have increased, so …
irrational) movement behavior. As data availability and computing power have increased, so …
Difftraj: Generating gps trajectory with diffusion probabilistic model
Pervasive integration of GPS-enabled devices and data acquisition technologies has led to
an exponential increase in GPS trajectory data, fostering advancements in spatial-temporal …
an exponential increase in GPS trajectory data, fostering advancements in spatial-temporal …
An algorithm for extracting similar segments of moving target trajectories based on shape matching
Z Ouyang, L Xue, F Ding, D Li - Engineering Applications of Artificial …, 2024 - Elsevier
Trajectory similarity analysis of moving target is the foundation for mining high-value and
regular behavioral information such as motion preferences, activity hotspots and frequent …
regular behavioral information such as motion preferences, activity hotspots and frequent …
SynMob: Creating High-Fidelity Synthetic GPS Trajectory Dataset for Urban Mobility Analysis
Urban mobility analysis has been extensively studied in the past decade using a vast
amount of GPS trajectory data, which reveals hidden patterns in movement and human …
amount of GPS trajectory data, which reveals hidden patterns in movement and human …
Controltraj: Controllable trajectory generation with topology-constrained diffusion model
Generating trajectory data is among promising solutions to addressing privacy concerns,
collection costs, and proprietary restrictions usually associated with human mobility …
collection costs, and proprietary restrictions usually associated with human mobility …
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 …
[HTML][HTML] Mapping Great Britain's semantic footprints through a large language model analysis of Reddit comments
Observed regional variation in geotagged social media text is often attributed to dialects,
where features in language are assumed to exhibit region-specific properties. While dialects …
where features in language are assumed to exhibit region-specific properties. While dialects …
An adaptive deep multi-task learning approach for citywide travel time collaborative estimation
The provision of accurate travel time information holds paramount significance for optimizing
traffic operations and management. However, existing approaches typically address multiple …
traffic operations and management. However, existing approaches typically address multiple …
Safety: A spatial and feature mixed outlier detection method for big trajectory data
Trajectories, as sequential data records generated by continuously collecting sample points
from positioning sensors, have the capability to effectively depict the motion patterns of …
from positioning sensors, have the capability to effectively depict the motion patterns of …