bilzinet / Traffic-state-reconstruction-using-Deep-CNNLinks
We propose a statistical learning-based traffic speed estimation method that uses sparse vehicle trajectory information. Using a convolutional encoder-decoder based architecture, we show that a well trained neural network can learn spatio-temporal traffic speed dynamics from timespace diagrams. We demonstrate this for a homogeneous road section …
☆23Updated 5 years ago
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