A Survey of Traffic Data Visualization

被引：204
|
作者：
Chen, Wei [1 ,2 ]
Guo, Fangzhou [1 ]
Wang, Fei-Yue [3 ]
机构：
[1] Zhejiang Univ, State Key Lab Comp Aided Design & Comp Graph, Hangzhou 310058, Zhejiang, Peoples R China
[2] Zhejiang Univ, Cyber Innovat Ctr, Hangzhou 310027, Zhejiang, Peoples R China
[3] Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
来源：
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS | 2015年 / 16卷 / 06期
基金：
中国国家自然科学基金;
关键词：
Traffic; traffic data visualization; visual analysis; data-driven intelligent transportation system; INTERACTIVE VISUALIZATION; VISUAL EXPLORATION; TRAJECTORY DATA; TIME; MOVEMENT; PATTERNS; AGGREGATION; ANALYTICS; GEOMETRY; MOBILITY;
D O I：
10.1109/TITS.2015.2436897
中图分类号：
TU [建筑科学];
学科分类号：
0813 ;
摘要：
Data-driven intelligent transportation systems utilize data resources generated within intelligent systems to improve the performance of transportation systems and provide convenient and reliable services. Traffic data refer to datasets generated and collected on moving vehicles and objects. Data visualization is an efficient means to represent distributions and structures of datasets and reveal hidden patterns in the data. This paper introduces the basic concept and pipeline of traffic data visualization, provides an overview of related data processing techniques, and summarizes existing methods for depicting the temporal, spatial, numerical, and categorical properties of traffic data.
引用
收藏
页码：2970 / 2984
页数：15
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