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Data-Driven Solutions to Transportation Problems (Paperback)
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Data-Driven Solutions to Transportation Problems (Paperback)
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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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