The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.
Big Data applications in real-time traffic operation and safety monitoring and improvement on urban expressways
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Cites
Breiman, L. (2001) · Machine Learning · doi:10.1023/a:1010933404324 · Cited by 133,538
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Bias in random forest variable importance measures: Illustrations, sources and a solution
Strobl, C., Boulesteix, A.-L., Zeileis, A., & Hothorn, T. (2007) · BMC Bioinformatics · doi:10.1186/1471-2105-8-25 · Cited by 3,688
Conditional variable importance for random forests
Strobl, C., Boulesteix, A.-L., Kneib, T., Augustin, T., & Zeileis, A. (2008) · BMC Bioinformatics · doi:10.1186/1471-2105-9-307 · Cited by 3,254
Springer Science+Business Media
Технология (2013) · Betascript Publishing eBooks · Cited by 3,087
Nowak, A. S., & Collins, K. R. (2012) · CRC Press eBooks · doi:10.1201/b12913 · Cited by 1,219
Predicting Freeway Crashes from Loop Detector Data by Matched Case-Control Logistic Regression
Abdel-Aty, M., Uddin, N., Pande, A., Abdalla, M. F., & Hsia, L. (2004) · Transportation Research Record: Journal of the Transportation Research Board · doi:10.3141/1897-12 · Cited by 367
Self-citationrandomForest: Breiman and Cutlers Random Forests for Classification and Regression
Breiman, L., Cutler, A., Liaw, A., & Wiener, M. (2002) · CRAN: Contributed Packages · doi:10.32614/cran.package.randomforest · Cited by 358
Utilizing support vector machine in real-time crash risk evaluation
Yu, R., & Abdel-Aty, M. (2013) · Accident Analysis & Prevention · doi:10.1016/j.aap.2012.11.027 · Cited by 317
Self-citation
Cited by
Big Data Analytics in Intelligent Transportation Systems: A Survey
Zhu, L., Yu, F. R., Wang, Y., Ning, B., & Tang, T. (2019) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2018.2815678 · Cited by 1,075
Differential Privacy Techniques for Cyber Physical Systems: A Survey
Hassan, M. U., Rehmani, M. H., & Chen, J. (2020) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2019.2944748 · Cited by 564
Real-time crash risk prediction on arterials based on LSTM-CNN
Li, P., Abdel-Aty, M., & Yuan, J. (2020) · Accident Analysis & Prevention · doi:10.1016/j.aap.2019.105371 · Cited by 394
Self-citationA graph CNN-LSTM neural network for short and long-term traffic forecasting based on trajectory data
Bogaerts, T., Masegosa, A. D., Angarita-Zapata, J. S., Onieva, E., & Hellinckx, P. (2020) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2020.01.010 · Cited by 373
Anomaly detection via a Gaussian Mixture Model for flight operation and safety monitoring
Li, L., Hansman, R. J., Palacios, R., & Welsch, R. (2016) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2016.01.007 · Cited by 254
Metadata
- Authors
- Shi, Q., & Abdel-Aty, M.
- Venue
- Transportation Research Part C: Emerging Technologies
- Publisher
- Elsevier BV
- Published
- 2015-09
- Volume
- 58
- Pages
- 380-394
- ISSN
- 0968-090X (ISSN-L)
- OpenAlex
- W2104349879
- Cited by
- 414
- References
- 27
- FWCI
- 29.08
- Type
- journal article
- Language
- en
- Open access
- green
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- Shi, Q., & Abdel-Aty, M. (2015). Big Data applications in real-time traffic operation and safety monitoring and improvement on urban expressways. Transportation Research Part C: Emerging Technologies. https://doi.org/10.1016/j.trc.2015.02.022
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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.