The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Accurate freeway travel time prediction with state-space neural networks under missing data
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Citations
Cites
Hochreiter, S., & Schmidhuber, J. (1997) · Neural Computation · doi:10.1162/neco.1997.9.8.1735 · Cited by 102,318
Neural Networks for Pattern Recognition
Bishop, C. M. (1995) · doi:10.1093/oso/9780198538493.001.0001 · Cited by 12,287
Analysis of Incomplete Multivariate Data
Schafer, J. L. (1997) · doi:10.1201/9781439821862 · Cited by 6,012 · cited 3×
“A possible explanation for this phenomenon is that the patterns formed by traffic measurements have very different statistical properties than the multivariate data sets used throughout (Schafer, 1997) which stem predominantly from medical statistics, and social sciences.”
BackgroundMackay, D. J. C. (1995) · Network Computation in Neural Systems · doi:10.1088/0954-898x/6/3/011 · Cited by 915
Cited by
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
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
Real-time road traffic prediction with spatio-temporal correlations
Min, W., & Wynter, L. (2011) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2010.10.002 · Cited by 668
Travel time prediction with LSTM neural network
Duan, Y., L.V., Y., & Wang, F.-Y. (2016) · 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC) · doi:10.1109/itsc.2016.7795686 · Cited by 336
Mazloumi, E., Rose, G., Currie, G., & Moridpour, S. (2011) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2010.11.004 · Cited by 133
Metadata
- Authors
- van Lint, J. W. C., Hoogendoorn, S. P., & van Zuylen, H. J.
- Venue
- Transportation Research Part C: Emerging Technologies
- Publisher
- Elsevier BV
- Published
- 2005-10
- Volume
- 13
- Issue
- 5-6
- Pages
- 347-369
- ISSN
- 0968-090X (ISSN-L)
- OpenAlex
- W1971757341
- Cited by
- 442
- References
- 4
- FWCI
- 25.76
- Type
- journal article
- Language
- en
- Open access
- closed
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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: Accurate freeway travel time prediction with state-space neural networks under missing data. https://app.cochat.ai/papers/10.1016/j.trc.2005.03.001
- The paper
- van Lint, J. W. C., Hoogendoorn, S. P., & van Zuylen, H. J. (2005). Accurate freeway travel time prediction with state-space neural networks under missing data. Transportation Research Part C: Emerging Technologies. https://doi.org/10.1016/j.trc.2005.03.001
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.
