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>