10.15131/shef.data.7424507.v1
Youngjoo Kim
Youngjoo
Kim
Peng Wang
Peng
Wang
Yifei Zhu
Yifei
Zhu
Lyudmila Mihaylova
Lyudmila
Mihaylova
Tensorflow Implementation of Capsule Network for Traffic Prediction
The University of Sheffield
2019
capsule network model
Convolutional Neural Networks Imaging
Artificial Intelligence and Image Processing
2019-01-08 16:51:27
Software
https://orda.shef.ac.uk/articles/software/Tensorflow_Implementation_of_Capsule_Network_for_Traffic_Prediction/7424507
<p>Tensorflow implementation of capsule network for traffic prediction.</p><p>Built with Python 3.5, TF-slim, numpy, pandas</p><ul><li>Obtain spatio-temporal image representation of traffic speed data, which are time series data with spatial relationship</li><li>Compare capsule network (CapsNet) and convolutional neural network (CNN) in a short-term traffic speed forecasting problem</li><li>Evaluated with real data measured by induction loop detectors on the road segments of Santander city in 2016</li></ul>