Cargando…
A Novel Approach to Calculate the Spatial–Temporal Correlation for Traffic Flow Based on the Structure of Urban Road Networks and Traffic Dynamic Theory
Determining the spatial–temporal correlation (STC) between roads can help clarify the operation characteristics of road traffic. Moreover, this correlation affects the utilization quality of traffic data in related research fields. Therefore, it is of significance to provide more reasonable correlat...
Autores principales: | Du, Mao, Yang, Lin, Tu, Jiayu |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8309648/ https://www.ncbi.nlm.nih.gov/pubmed/34300464 http://dx.doi.org/10.3390/s21144725 |
Ejemplares similares
-
Predictability of Road Traffic and Congestion in Urban Areas
por: Wang, Jingyuan, et al.
Publicado: (2015) -
Encapsulating Urban Traffic Rhythms into Road Networks
por: Wang, Junjie, et al.
Publicado: (2014) -
Global-Local Spatial-Temporal Residual Correlation Network for Urban Traffic Status Prediction
por: Bao, Yin-Xin, et al.
Publicado: (2022) -
Highway traffic flow prediction model with multi-component spatial–temporal graph convolution networks
por: Ning, Tao, et al.
Publicado: (2022) -
Temporal Patterns of Road Traffic Injuries in Iran
por: Khorshidi, Ali, et al.
Publicado: (2016)