Data-Driven Solutions to Transportation Problems

by Yinhai Wang and Ziqiang Zeng

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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.
  • ISBN13 9780128170267
  • Publish Date 5 December 2018
  • Publish Status Active
  • Publish Country US
  • Imprint Elsevier Science Publishing Co Inc
  • Format Paperback
  • Pages 299
  • Language English