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Cited by 1,075

The DOI matches its Crossref record; 109 of the 109 references it cites were found in a registry or an index.

Big Data Analytics in Intelligent Transportation Systems: A Survey

Zhu, Li, Yu, Fei Richard, Wang, Yige, Ning, Bin, Tang, Tao·2019·IEEE Transactions on Intelligent Transportation Systems

Abstract

Big data is becoming a research focus in intelligent transportation systems (ITS), which can be seen in many projects around the world. Intelligent transportation systems will produce a large amount of data. The produced big data will have profound impacts on the design and application of intelligent transportation systems, which makes ITS safer, more efficient, and profitable. Studying big data analytics in ITS is a flourishing field. This paper first reviews the history and characteristics of big data and intelligent transportation systems. The framework of conducting big data analytics in ITS is discussed next, where the data source and collection methods, data analytics methods and platforms, and big data analytics application categories are summarized. Several case studies of big data analytics applications in intelligent transportation systems, including road traffic accidents analysis, road traffic flow prediction, public transportation service plan, personal travel route plan, rail transportation management and control, and assets maintenance are introduced. Finally, this paper discusses some open challenges of using big data analytics in ITS.

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Metadata

Authors
Zhu, L., Yu, F. R., Wang, Y., Ning, B., & Tang, T.
Venue
IEEE Transactions on Intelligent Transportation Systems
Published
2019-01
Volume
20
Issue
1
Pages
383-398
ISSN
  • 1524-9050 (ISSN-L)
  • 1558-0016
OpenAlex
W2802508687
Cited by
1,075
References
109
FWCI
70.42
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Big Data Analytics in Intelligent Transportation Systems: A Survey. https://app.cochat.ai/papers/10.1109/tits.2018.2815678
The paper
Zhu, L., Yu, F. R., Wang, Y., Ning, B., & Tang, T. (2019). Big Data Analytics in Intelligent Transportation Systems: A Survey. IEEE Transactions on Intelligent Transportation Systems. https://doi.org/10.1109/tits.2018.2815678

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.