Location Prediction on Trajectory Data: A Review

• 作者: Chengzong Peng Guangchun Luo Junming Shao Ling Tian Ruizhi Wu
• 来源期刊: 大数据挖掘与分析(英文)
• 学科: 工学
• 关键词: LOCATION PREDICTION TRAJECTORY DATA DATA MINING
• 年，卷（期）: 2018,（2）
• 页码范围: 108-127
• 页数: 20页
• 分类号: TP311.13

摘要

Location prediction is the key technique in many location based services including route navigation, dining location recommendations, and traffic planning and control, to mention a few. This survey provides a comprehensive overview of location prediction, including basic definitions and concepts, algorithms, and applications. First, we introduce the types of trajectory data and related basic concepts. Then, we review existing location-prediction methods, ranging from temporal-pattern-based prediction to spatiotemporal-pattern-based prediction. We also discuss and analyze the advantages and disadvantages of these algorithms and briefly summarize current applications of location prediction in diverse fields. Finally, we identify the potential challenges and future research directions in location prediction.