Short-term traffic flow prediction models-a comparison of neural network and nonparametric regression approaches

Traffic flow prediction models are expected to play an important role in intelligent vehicle highway systems. This paper demonstrate that the nearest neighbour models have the potential to serve as accurate and portable traffic flow prediction models. Furthermore the models have the advantages of being easily understood by field personnel.<
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