Big data analysis and cloud computing for smart transportation system integration

Big data and cloud computing are becoming more critical in transportation systems as these technologies develop. Transportation companies can recognize and forecast potential traffic problems and offer appropriate responses. To avoid hindering mobility, one might use predictive analytics to assess t...

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Vydáno v:	Multimedia tools and applications Ročník 84; číslo 29; s. 35073 - 35090
Hlavní autoři:	Ali, Mohammed Hasan, Jaber, Mustafa Musa, Abd, Sura Khalil, Alkhayyat, Ahmed, Albaghdadi, Mustafa Fahem
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York Springer US 01.09.2025 Springer Nature B.V
Témata:	1231: IoT-driven Computer Vision Technology for Smart Transportation Applications Accuracy Algorithms Big Data Cloud computing Communications systems Computer Communication Networks Computer Science Data analysis Data mining Data processing Data Structures and Information Theory Efficiency Intelligent transportation systems Machine learning Multimedia Information Systems Roads & highways Sensors Smart cities Special Purpose and Application-Based Systems Traffic Traffic control Traffic flow Transportation planning Vehicles Cloud computing Big data analytics Traffic prediction Smart transportation Machine learning
ISSN:	1573-7721, 1380-7501, 1573-7721
On-line přístup:	Získat plný text
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