A Survey of Traffic Data Visualization
Top Cited Papers
- 10 June 2015
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Intelligent Transportation Systems
- Vol. 16 (6), 2970-2984
- https://doi.org/10.1109/tits.2015.2436897
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
Funding Information
- Major Program of the National Natural Science Foundation of China (61232012)
- National Natural Science Foundation of China (61422211)
- National 973 Program of China (2015CB352503)
- Zhejiang Provincial Natural Science Foundation of China (LR13F020001)
- Fundamental Research Funds for the Central Universities
- NUS–ZJU SeSama Center
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