Data-Driven Solutions to Transportation Problems Wang Zeng Paperback Elsevier

Data-Driven Solutions to Transportation ProblemsAuthor(s): Yinhai Wang, Ziqiang Zeng\nFormat: Paperback\nPublisher: Elsevier Science Publishing Co Inc, United States\nImprint: Elsevier Science Publishing Co Inc\nISBN-13: 9780128170267, 978-0128170267\nSynopsis\nData-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.