Data Driven Solutions to Transportation Problems

  • Publsiher : Elsevier
  • Release : 04 December 2018
  • ISBN : 9780128170274
  • Page : 299 pages
  • Rating : 4/5 from 21 voters

Download or read online book entitled Data Driven Solutions to Transportation Problems written by Yinhai Wang and published by Elsevier. This book was released on 04 December 2018 with total page 299 pages. Available in PDF, EPUB and Kindle. Get best books that you want by click Get Book Button and Read as many books as you like. Book Excerpt : 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. Synthesizes the newest developments in data-driven transportation science Includes case studies and examples in each chapter that illustrate the application of methodologies and technologies employed Useful for both theoretical and technically-oriented researchers

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