Deep Learning for Road Traffic Forecasting: Does it Make a Difference?

@article{Manibardo2020DeepLF,
  title={Deep Learning for Road Traffic Forecasting: Does it Make a Difference?},
  author={Eric L. Manibardo and Ibai La{\~n}a and Javier Del Ser},
  journal={ArXiv},
  year={2020},
  volume={abs/2012.02260}
}
Deep Learning methods have been proven to be flexible to model complex phenomena. This has also been the case of Intelligent Transportation Systems (ITS), in which several areas such as vehicular perception and traffic analysis have widely embraced Deep Learning as a core modeling technology. Particularly in short-term traffic forecasting, the capability of Deep Learning to deliver good results has generated a prevalent inertia towards using Deep Learning models, without examining in depth… Expand

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