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Data-Driven Solutions to Transportation Problems
Yinhai Wang; Ziqiang Zeng (Author)
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Elsevier
· Paperback
Data-Driven Solutions to Transportation Problems - Yinhai Wang; Ziqiang Zeng
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Synopsis "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. 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.Synthesizes the newest developments in data-driven transportation scienceIncludes case studies and examples in each chapter that illustrate the application of methodologies and technologies employedUseful for both theoretical and technically-oriented researchers
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All books in our catalog are Original.
The book is written in English.
The binding of this edition is Paperback.
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