Data-driven solutions to transportation problems
by Wang, Yinhai
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 c…
Read More ↓Title Statements
- Full title :Data-driven solutions to transportation problems / Yinhai Wang [aut]; Ziqiang Zeng [aut]
Summary
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.
Read More ↓Edition Statements
- Publication Date:2019
- Edition:First edition
Publication Statements
- Publisher(s):Elsevier
- Place of Publication:Amsterdam
- Language:eng
- Publication Date:2019
The Physical Object
- Description:1 online resource
Edition Identifiers
- ISBN:9780128170274, 0128170271
- oclc:on1281836850
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