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Tensorflow Implementation of Capsule Network for Traffic Prediction

software
posted on 08.01.2019 by Youngjoo Kim, Peng Wang, Yifei Zhu, Lyudmila Mihaylova

Tensorflow implementation of capsule network for traffic prediction.

Built with Python 3.5, TF-slim, numpy, pandas

  • Obtain spatio-temporal image representation of traffic speed data, which are time series data with spatial relationship
  • Compare capsule network (CapsNet) and convolutional neural network (CNN) in a short-term traffic speed forecasting problem
  • Evaluated with real data measured by induction loop detectors on the road segments of Santander city in 2016

Funding

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

European Commission

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