Data-driven Solutions to Transportation Problems
商品資訊
ISBN13：9780128170267
出版社：Elsevier Science Ltd
作者：Ziqiang Zeng; Yinhai Wang
出版日：2018/12/14
裝訂／頁數：平裝／272頁
規格：22.9cm*15.2cm (高/寬)
商品簡介
Transportation Science 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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