Title :
A Survey of Traffic Data Visualization
Author :
Wei Chen ; Fangzhou Guo ; Fei-Yue Wang
Author_Institution :
State Key Lab. of Comput. Aided Design & Comput. Graphics, Zhejiang Univ., Hangzhou, China
Abstract :
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.
Keywords :
data visualisation; intelligent transportation systems; traffic information systems; categorical properties; data hidden patterns; data processing technique; data resources; data-driven intelligent transportation system; dataset distribution; dataset structure; moving objects; moving vehicles; numerical properties; spatial properties; temporal properties; traffic data visualization; Data analysis; Data collection; Data preprocessing; Data visualization; Query processing; Visual analytics; Traffic; data-driven intelligent transportation system; traffic data visualization; visual analysis;
Journal_Title :
Intelligent Transportation Systems, IEEE Transactions on
DOI :
10.1109/TITS.2015.2436897
