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Tensorflow Implementation of Capsule Network for Traffic Prediction

posted on 2019-01-08, 16:51 authored by Youngjoo Kim, Peng Wang, Yifei ZhuYifei Zhu, Lyudmila MihaylovaLyudmila 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


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

European Commission

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