Work

Trajectory Data Preprocessing: Methods and Models

Year: 2025

Type: article

Abstract: Trajectory data from GPS and sensors are increasingly available, necessitating effective preprocessing techniques for data mining. To systematically review the methods and models for trajectory data preprocessing, we conducted a systematic literature search in IEEE Xplore, Association for Computing Machinery Digital Library (ACM DL), Scopus, Web of Science, and Transport Research International Documentation published over the past several decades, using keywords related to trajectory data preprocessing. The studies were screened and selected based on predefined inclusion and exclusion criteria. We included 138 studies, summarizing techniques in data cleaning, compression, segmentation, and map matching. Key algorithms and their performance are compared. This review synthesizes current preprocessing methods and identifies future research directions, including real-time processing, semantic labeling, and privacy protection.

Source: Electronics

DOI: 10.3390/electronics14234694

Authors: Peiyu Li, Zhao Tian, Yanfang Yang, Yusong Lin

Institutions: Henan University of Science and Technology, Zhengzhou University, Beijing Jiaotong University, China Academy of Transportation Sciences

Language: English

Topic: Data Management and Algorithms

Subfield: Signal Processing

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $2,896

Funders: Zhengzhou University, Key Scientific Research Project of Colleges and Universities in Henan Province