Short-term traffic state prediction from latent structures: Accuracy vs. efficiency
Transportation Research Part C: Emerging Technologies(2020)
摘要
•A PLS-based model is proposed for short-term traffic state prediction.•PLS can produce comparable results to deep learning models in a more efficient manner.•PLS model can learn day-to-day variations and spatial dependencies of traffic states.•PLS model is validated by real-world traffic data.
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关键词
Short-term traffic state prediction,Spatiotemporal dependencies,Partial least square regression,Latent structures,Real-time applications
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