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Tensorflow Implementation of Capsule Network for Traffic Prediction
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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
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