<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>
Funding
SETA: An open, sustainable, ubiquitous data and service ecosystem for efficient, effective, safe, resilient mobility in metropolitan areas