Short-Term Traffic Speed Prediction Based on Fundamental and Cointegration Relationship of Speed–Density in Non-Congested and Congested States

Short-term traffic state prediction has been an integral part of intelligent transportation systems. Currently, many prediction methods that model traffic dynamics have been proposed. However, only a few of them utilize the relationship among traffic variables represented on the fundamental diagram...

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Principais autores:	Ryo Inoue, Akihisa Miyashita
Formato:	Artigo
Idioma:	Inglês
Publicado em:	IEEE 2021-01-01
coleção:	IEEE Open Journal of Intelligent Transportation Systems
Assuntos:	Cointegration error correction model regime-switching model speed–density relationship traffic speed prediction
Acesso em linha:	https://ieeexplore.ieee.org/document/9642037/
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