关键词: 轨迹数据, 轨迹预处理, 时空模式挖掘, 管理决策

Abstract:

The acquisition of spatiotemporal trajectory data is becoming easier. Trajectory data depict the behavior patterns and activity rules of mobile objects. It is a true portrayal of the movement patterns and behavior characteristics of mobile objects in spatiotemporal environment. It has important application value in urban planning, traffic management, service recommendation, location prediction and other fields. These processes usually need to be realized through pattern mining of spatiotemporal trajectory data. Firstly, the preprocessing and basic steps of trajectory data mining are briefly described, and the classification of abnormal trajectory detection methods is summarized. Then, four kinds of trajectory pattern mining in recent years are analyzed and summarized. Finally, trajectory data mining is summarized and analyzed from the perspective of management decision, which is expected to provide necessary literature and theoretical basis for pattern mining and management decision-making of trajectory data.

Key words: trajectory data, trajectory preprocessing, spatiotemporal pattern mining, management decision