Spatiotemporal traffic state prediction based on discriminatively pre-trained deep neural networks
M Elhenawy, H Rakha - Advances in Science, Technology and …, 2017 - eprints.qut.edu.au
The availability of traffic data and computational advances now make it possible to build
data-driven models that capture the evolution of the state of traffic along modeled stretches …
data-driven models that capture the evolution of the state of traffic along modeled stretches …
[PDF][PDF] Spatiotemporal Traffic State Prediction Based on Discriminatively Pre-trained Deep Neural Networks
M Elhenawy, H Rakha - pdfs.semanticscholar.org
The availability of traffic data and computational advances now make it possible to build
data-driven models that capture the evolution of the state of traffic along modeled stretches …
data-driven models that capture the evolution of the state of traffic along modeled stretches …
[PDF][PDF] Spatiotemporal Traffic State Prediction Based on Discriminatively Pre-trained Deep Neural Networks
M Elhenawy, H Rakha - academia.edu
The availability of traffic data and computational advances now make it possible to build
data-driven models that capture the evolution of the state of traffic along modeled stretches …
data-driven models that capture the evolution of the state of traffic along modeled stretches …