The DOI matches its Crossref record.
A bayesian dynamic linear model approach for real-time short-term freeway travel time prediction
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Citations
Cited by
Short-term traffic forecasting: where we are and where we’re going
Vlahogianni, E. I., Karlaftis, M. G., & Golias, J. C. (2014) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2014.01.005 · Cited by 1,132
Road Traffic Forecasting: Recent Advances and New Challenges
Lana, I., Del Ser, J., Velez, M., & Vlahogianni, E. I. (2018) · IEEE Intelligent Transportation Systems Magazine · doi:10.1109/mits.2018.2806634 · Cited by 367
Understanding ridesplitting behavior of on-demand ride services: An ensemble learning approach
Chen, X. (., Zahiri, M., & Zhang, S. (2017) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2016.12.018 · Cited by 252
Bus Arrival Time Prediction: A Spatial Kalman Filter Approach
Achar, A., Bharathi, D., Kumar, B. A., & Vanajakshi, L. (2020) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2019.2909314 · Cited by 72
Metadata
- Authors
- Fei, X., Lu, C.-C., & Liu, K.
- Venue
- Transportation Research Part C: Emerging Technologies
- Publisher
- Elsevier BV
- Published
- 2011-12
- Volume
- 19
- Issue
- 6
- Pages
- 1306-1318
- ISSN
- 0968-090X (ISSN-L)
- OpenAlex
- W2074108366
- Cited by
- 243
- References
- 0
- FWCI
- 28.39
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A bayesian dynamic linear model approach for real-time short-term freeway travel time prediction. https://app.cochat.ai/papers/10.1016/j.trc.2010.10.005
- The paper
- Fei, X., Lu, C.-C., & Liu, K. (2011). A bayesian dynamic linear model approach for real-time short-term freeway travel time prediction. Transportation Research Part C: Emerging Technologies. https://doi.org/10.1016/j.trc.2010.10.005
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.