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Combining kohonen maps with arima time series models to forecast traffic flow
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Citations
Cited by
Traffic Flow Prediction With Big Data: A Deep Learning Approach
Lv, Y., Duan, Y., Kang, W., Li, Z., & Wang, F.-Y. (2014) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2014.2345663 · Cited by 3,000
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
Privacy-Preserving Traffic Flow Prediction: A Federated Learning Approach
Liu, Y., Yu, J. J. Q., Kang, J., Niyato, D., & Zhang, S. (2020) · IEEE Internet of Things Journal · doi:10.1109/jiot.2020.2991401 · Cited by 712
LSTM-based traffic flow prediction with missing data
Tian, Y., Zhang, K., Li, J., Lin, X., & Yang, B. (2018) · Neurocomputing · doi:10.1016/j.neucom.2018.08.067 · Cited by 544
Short-term traffic flow prediction with Conv-LSTM
Liu, Y., Zheng, H., Feng, X., & Chen, Z. (2017) · 2017 9th International Conference on Wireless Communications and Signal Processing (WCSP) · doi:10.1109/wcsp.2017.8171119 · Cited by 328
Metadata
- Authors
- Van Der Voort, M., Dougherty, M., & Watson, S.
- Venue
- Transportation Research Part C: Emerging Technologies
- Publisher
- Elsevier BV
- Published
- 1996-10
- Volume
- 4
- Issue
- 5
- Pages
- 307-318
- ISSN
- 0968-090X (ISSN-L)
- OpenAlex
- W2171234954
- Cited by
- 845
- References
- 0
- FWCI
- 15.68
- Type
- journal article
- Language
- en
- Open access
- bronze
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- CoChat. (2026). Citation check: Combining kohonen maps with arima time series models to forecast traffic flow. https://app.cochat.ai/papers/10.1016/s0968-090x(97)82903-8
- The paper
- Van Der Voort, M., Dougherty, M., & Watson, S. (1996). Combining kohonen maps with arima time series models to forecast traffic flow. Transportation Research Part C: Emerging Technologies. https://doi.org/10.1016/s0968-090x(97)82903-8
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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.
