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- Author: Yinhai Wang
- Publisher: Elsevier
- ISBN-10: 0128170263
- ISBN-13: 9780128170267
- Format: 15.2 x 22.9 x 1.6 cm, softcover
- Language: English
- SAVE -10% with code: EXTRA
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Description
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.
EXTRA 10 % discount with code: EXTRA
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- Author: Yinhai Wang
- Publisher: Elsevier
- ISBN-10: 0128170263
- ISBN-13: 9780128170267
- Format: 15.2 x 22.9 x 1.6 cm, softcover
- Language: English English
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.
Reviews