Application and research on trajectory big data

Abstract

In the era of big data, the formation of massive trajectory data of moving objects with rich Spatio-temporal feature information can mine data such as human activity patterns and behavioral characteristics through trajectory data processing technology. This paper and analyzes the concept of trajectory data, the application process and the research results. Firstly, this paper briefly describes the trajectory data. Secondly, it outlines the supporting techniques of trajectory data, including data cleaning, integration, and transformation. Next, it introduces the classification steps of trajectory data mining, including using the segmentation method to segment the data, extract features from the segments; besides, it models and studies the predicted questions in this topic. Then it briefly introduces the application method of trajectory data mining in data privacy and the application of trajectory data in the transportation field. Finally, the paper summarizes the challenges and future research directions of trajectory data processing.