The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Statistical methods versus neural networks in transportation research: Differences, similarities and some insights
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Citations
Cites
Neural Networks for Pattern Recognition
Bishop, C. M. (1995) · doi:10.1093/oso/9780198538493.001.0001 · Cited by 12,287
Forecasting the Suez Canal traffic: A neural network analysis
Mostafa, M. M. (2004) · Maritime Policy & Management · doi:10.1080/0308883032000174463 · Cited by 72
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
Self-citationCui, Z., Ke, R., Pu, Z., & Wang, Y. (2020) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2020.102674 · Cited by 486
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
Self-citationMiglani, A., & Kumar, N. (2019) · Vehicular Communications · doi:10.1016/j.vehcom.2019.100184 · Cited by 295
How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey
Ye, J., Zhao, J., Ye, K., & Xu, C. (2022) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2020.3043250 · Cited by 281
Metadata
- Authors
- Karlaftis, M. G., & Vlahogianni, E. I.
- Venue
- Transportation Research Part C: Emerging Technologies
- Publisher
- Elsevier BV
- Published
- 2011-06
- Volume
- 19
- Issue
- 3
- Pages
- 387-399
- ISSN
- 0968-090X (ISSN-L)
- OpenAlex
- W1967444754
- Cited by
- 826
- References
- 2
- FWCI
- 41.10
- Type
- journal article
- Language
- en
- Open access
- green
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- The paper
- Karlaftis, M. G., & Vlahogianni, E. I. (2011). Statistical methods versus neural networks in transportation research: Differences, similarities and some insights. Transportation Research Part C: Emerging Technologies. https://doi.org/10.1016/j.trc.2010.10.004
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.
