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Data-driven solutions to transportat...
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Wang, Yinhai,
Data-driven solutions to transportation problems
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Data-driven solutions to transportation problems/ [edited by] Yinhai Wang, Ziqiang Zeng.
other author:
Wang, Yinhai,
Published:
Amsterdam :Elsevier, : 2019.,
Description:
1 online resource :ill. :
Subject:
Transportation - Mathematical models. -
Online resource:
https://www.sciencedirect.com/science/book/9780128170267
ISBN:
9780128170274 (electronic bk.)
Data-driven solutions to transportation problems
Data-driven solutions to transportation problems
[electronic resource] /[edited by] Yinhai Wang, Ziqiang Zeng. - First edition. - Amsterdam :Elsevier,2019. - 1 online resource :ill.
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. The book examines the state-of-the-art in data-enabled methodologies, technologies and applications in transportation. Readers will learn how to solve problems relating to energy efficiency under connected vehicle environments, urban travel behavior, trajectory data-based travel pattern identification, public transportation analysis, traffic signal control efficiency, optimizing traffic networks network, and much more.
ISBN: 9780128170274 (electronic bk.)Subjects--Topical Terms:
785264
Transportation
--Mathematical models.Index Terms--Genre/Form:
554714
Electronic books.
LC Class. No.: HE192.5
Dewey Class. No.: 388.015118
Data-driven solutions to transportation problems
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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. The book examines the state-of-the-art in data-enabled methodologies, technologies and applications in transportation. Readers will learn how to solve problems relating to energy efficiency under connected vehicle environments, urban travel behavior, trajectory data-based travel pattern identification, public transportation analysis, traffic signal control efficiency, optimizing traffic networks network, and much more.
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https://www.sciencedirect.com/science/book/9780128170267
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