• Corpus ID: 36819691

A Graph Signal Processing Approach For Real-Time Traffic Prediction In Transportation Networks

@article{Hasanzadeh2017AGS,
  title={A Graph Signal Processing Approach For Real-Time Traffic Prediction In Transportation Networks},
  author={Arman Hasanzadeh and Xi Liu and Nick G. Duffield and Krishna R. Narayanan and Byron T Chigoy},
  journal={arXiv: Signal Processing},
  year={2017}
}
Accurate real-time traffic prediction has a key role in traffic management strategies and intelligent transportation systems. [] Key Method First, we introduce a novel spatio-temporal clustering algorithm in order to split the large graph into multiple connected disjoint subgraphs. Then within each subgraph, we propose to use a Graph Signal Processing (GSP) approach to decouple spatial dependencies and obtain independent time series in graph frequency domain.
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