Artificial neural networks for forecasting user flows in transportation networks: Literature review, limits, potentialities and open challenges

This paper proposes a literature review on Artificial Neural Networks (ANNs) for forecasting user flows on road and transit networks. Besides the literature review, a discussion about the potentialities and the limits of this non-parametric approach are discussed. The paper identifies some research field that are still open and deserve further studies.

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