Data-Driven Solutions to Transportation Problems
Author | : Yinhai Wang |
Publisher | : Elsevier |
Total Pages | : 0 |
Release | : 2018-12-05 |
ISBN-10 | : 0128170263 |
ISBN-13 | : 9780128170267 |
Rating | : 4/5 (267 Downloads) |
Download or read book Data-Driven Solutions to Transportation Problems written by Yinhai Wang and published by Elsevier. This book was released on 2018-12-05 with total page 0 pages. Available in PDF, EPUB and Kindle. 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.