Long-Short Term Spatiotemporal Tensor Prediction for Passenger Flow Profile

Spatiotemporal data are very common in many applications, such as manufacturing systems and transportation systems. Given the intrinsic complex spatial and temporal correlations of such data, short-term and long-term prediction for spatiotemporal data is often very challenging. Most of the tradition...

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Vydané v:	IEEE robotics and automation letters Ročník 5; číslo 4; s. 5010 - 5017
Hlavní autori:	Li, Ziyue, Yan, Hao, Zhang, Chen, Tsung, Fugee
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 01.10.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Autoregressive models Autoregressive moving average Autoregressive moving-average models Bayes methods big data in robotics and automation Clustering Correlation Flow profiles Intelligent transportation system Mathematical analysis Matrix decomposition Passengers Predictive models probability and statistical methods Short term Spatiotemporal phenomena Statistical models Tensors Transportation systems Two dimensional models
ISSN:	2377-3766, 2377-3766
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