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Artificial neural networks for forecasting user flows in transportation networks: Literature review, limits, potentialities and open challenges
Research article (2017 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS), 2017) · cited 13× · AI/ML
Artificial neural networks for forecasting user flows in transportation networks: Literature review, limits, potentialities and open challenges
Summary
Artificial neural networks for forecasting user flows in transportation networks: Literature review, limits, potentialities and open challenges is a scholarly article[1].
Key Facts
Artificial neural networks for forecasting user flows in transportation networks: Literature review, limits, potentialities and open challenges's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Artificial neural networks for forecasting user flows in transportation networks: Literature review, limits, potentialities and open challenges. Retrieved May 24, 2026, from https://4ort.xyz/entity/artificial-neural-networks-for-forecasting-user-flows-in-transportation-networks-literature-review-limits-potentialities
MLA“Artificial neural networks for forecasting user flows in transportation networks: Literature review, limits, potentialities and open challenges.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/artificial-neural-networks-for-forecasting-user-flows-in-transportation-networks-literature-review-limits-potentialities.
BibTeX@misc{4ortxyz_artificial-neural-networks-for-forecasting-user-flows-in-transportation-networks-literature-review-limits-potentialities_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Artificial neural networks for forecasting user flows in transportation networks: Literature review, limits, potentialities and open challenges}}, year = {2026}, url = {https://4ort.xyz/entity/artificial-neural-networks-for-forecasting-user-flows-in-transportation-networks-literature-review-limits-potentialities}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Artificial neural networks for forecasting user flows in transportation networks: Literature review, limits, potentialities and open challenges — https://4ort.xyz/entity/artificial-neural-networks-for-forecasting-user-flows-in-transportation-networks-literature-review-limits-potentialities (retrieved 2026-05-24)
