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Data-driven solutions to transportation problems /

Data-Driven Solutions to Transportation Problems explores the fundamental principle of analyzing different types of transportation-related data using methodologies such as the data fusion model, the big data mining approach, computer vision-enabled traffic sensing data analysis, and machine learning...

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Bibliographic Details
Corporate Author: ScienceDirect (Online service)
Other Authors: Wang, Yinhai (Editor), Zeng, Ziqiang (Assistant professor) (Editor)
Format: eBook
Language:English
Published: Amsterdam : Elsevier, [2019]
Edition:First edition.
Subjects:
Transportation > Mathematical models.
Transport > Modèles mathématiques.
BUSINESS & ECONOMICS > Industries > Transportation.
TRANSPORTATION > Public Transportation.
Transportation > Mathematical models
Electronic books.
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Call Number: HE192.5
 
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