The DOI matches its Crossref record.
Neural network model for rapid forecasting of freeway link travel time
Overview
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Claims the paper makes
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Citations
Cited by
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
Rechkemmer, A., & Yin, M. (2022) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3491102.3501967 · Cited by 97
Taxi Time Prediction at Charlotte Airport Using Fast-Time Simulation and Machine Learning Techniques
Lee, H., Malik, W., Zhang, B., Nagarajan, B., & Jung, Y. C. (2015) · 15th AIAA Aviation Technology, Integration, and Operations Conference · doi:10.2514/6.2015-2272 · Cited by 33
Metadata
- Authors
- Dharia, A., & Adeli, H.
- Venue
- Engineering Applications of Artificial Intelligence
- Publisher
- Elsevier BV
- Published
- 2003-10
- Volume
- 16
- Issue
- 7-8
- Pages
- 607-613
- ISSN
- 0952-1976 (ISSN-L)
- OpenAlex
- W2021914902
- Cited by
- 231
- References
- 0
- FWCI
- 12.25
- 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: Neural network model for rapid forecasting of freeway link travel time. https://app.cochat.ai/papers/10.1016/j.engappai.2003.09.011
- The paper
- Dharia, A., & Adeli, H. (2003). Neural network model for rapid forecasting of freeway link travel time. Engineering Applications of Artificial Intelligence. https://doi.org/10.1016/j.engappai.2003.09.011
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.
