With the rapid development of mobile positioning and computing techniques, a vast amount of trajectory data containing time-stamped geographical information associated with the movement of people and animals has been generated by widely used location-aware devices and social network apps. The easy accessibility of trajectory data provides unprecedented ways to observe and interpret moving actions and positions, promoting diverse applications, such as human mobility patterns, route prediction and recommendation, and the discovery of region functions. These widespread applications, in turn, have spurred the study of qualified and efficient technologies for extracting knowledge or conclusions from huge trajectory datasets. Trajectory Data Computing and Mining has emerged as an attractive research theme, playing an essential role in numerous fields, such as transportation geography, social economics, human psychology, and urban science.
We encourage the submission of original papers that focus on trajectory data computing and mining. Submissions are welcome but not limited to the following topics:
- Trajectory data organization and management
- Trajectory data compression and classification
- Trajectory data processing
- Trajectory pattern analysis
- Trajectory clustering and classification
- Multi-source trajectory data fusion
- Trajectory representation learning
- Trajectory prediction and recommendation
- Trajectory visualization and interpretation
- Applications of trajectory data computing and mining
