Big Trajectory Data: A Survey of Applications and Services

被引:54
作者
Kong, Xiangjie [1 ]
Li, Menglin [1 ]
Ma, Kai [1 ]
Tian, Kaiqi [1 ]
Wang, Mengyuan [1 ]
Ning, Zhaolong [1 ]
Xia, Feng [1 ]
机构
[1] Dalian Univ Technol, Sch Software, Key Lab Ubiquitous Network & Serv Software Liaoni, Dalian 116620, Peoples R China
来源
IEEE ACCESS | 2018年 / 6卷
基金
中国国家自然科学基金;
关键词
Trajectory data; human mobility; travel behavior; applications and services; TRAVEL-TIME ESTIMATION; HUMAN MOBILITY; TRIP PURPOSE; ANOMALY DETECTION; TAXI DATA; URBAN; GPS; PATTERNS; EMISSIONS; VEHICLE;
D O I
10.1109/ACCESS.2018.2873779
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The rapid development of wireless infrastructure and data acquisition technologies contributes to the explosive growth of data, especially trajectory data with rich information. Trajectory data, which records locations of moving objects at certain moments, has long been an important means of studying human behavior and solving traffic problems. In this paper, we mainly introduce the trajectory data from the perspective of applications and services. According to the degree of data structured, we divide the trajectory data into explicit trajectory data and implicit trajectory data, and describe each type in detail. Then, we introduce the applications of trajectory data from travel behavior, travel patterns, and other aspects. Combined with case studies, we provide a description to the services of trajectory data in terms of transportation administration and commercial service. Finally, we focus on challenges in trajectory data, including privacy protection, human mobility causality, and emission reduction.
引用
收藏
页码:58295 / 58306
页数:12
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