Fine-Scaled Predictive Modeling of Road Surface Conditions and Temperature in Urban Areas

Road administrators require fine-scaled information regarding road surface conditions to ensure efficient operation during winter periods. However, conventional models offer low-resolution information at a scale comparable to meteorological meshes or the spatial configuration of road weather informa...

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Veröffentlicht in:	IEEE transactions on intelligent transportation systems 2024-11, Vol.25 (11), p.17122-17133
Hauptverfasser:	Ishii, Keita, Ono, Shunsuke, Masago, Takeshi, Ishizuki, Masamu, Mori, Teppei, Hanatsuka, Yasushi
Format:	Artikel
Sprache:	eng
Schlagworte:	Bayesian hierarchical model Data models machine learning Maintenance Meteorology Predictive models road surface conditions Road surface temperature Roads Solar radiation spatiotemporal model Urban areas winter road operations
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