The DOI matches its Crossref record; 65 of the 65 references it cites were found in a registry or an index.
A Survey of Traffic Data Visualization
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.
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Cites
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Data-Driven Intelligent Transportation Systems: A Survey
Zhang, J., Wang, F.-Y., Wang, K., Lin, W.-H., Xu, X., & Chen, C. (2011) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2011.2158001 · Cited by 1,817
Self-citationIlluminating the Path: The Research and Development Agenda for Visual Analytics
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Quddus, M. A., Ochieng, W. Y., & Noland, R. B. (2007) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2007.05.002 · Cited by 917
Map-matching for low-sampling-rate GPS trajectories
Lou, Y., Zhang, C., Zheng, Y., Xie, X., Wang, W., & Huang, Y. (2009) · Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems · doi:10.1145/1653771.1653820 · Cited by 797
Kernel Density Estimation of traffic accidents in a network space
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Cited by
Visual analytics in urban computing: An overview
Zheng, Y., Wu, W., Chen, Y., Qu, H., & Ni, L. M. (2016) · IEEE Transactions on Big Data · doi:10.1109/tbdata.2016.2586447 · Cited by 141
Metadata
- Authors
- Chen, W., Guo, F., & Wang, F.-Y.
- Venue
- IEEE Transactions on Intelligent Transportation Systems
- Published
- 2015-12
- Volume
- 16
- Issue
- 6
- Pages
- 2970-2984
- ISSN
- 1524-9050 (ISSN-L)
- 1558-0016
- OpenAlex
- W2176149189
- Cited by
- 294
- References
- 65
- FWCI
- 21.66
- Type
- journal article
- Language
- en
- Open access
- closed
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