Overview
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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Details
- ISBN-13: 9780128170267
- ISBN-10: 0128170263
- Publisher: Elsevier
- Publish Date: December 2018
- Dimensions: 9 x 6 x 0.63 inches
- Shipping Weight: 0.89 pounds
- Page Count: 299
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