Data-Driven Solutions to Transportation Problems

By Ziqiang Zeng and Yinhai Wang

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.

• Format: Paperback
• Language: English
• ISBN: 0128170263
• ISBN13: 9780128170267
• Release Date: December 2018
• Publisher: Elsevier
• Length: 299 Pages
• Weight: 0.89 lbs.
• Dimensions: 0.6" x 6.0" x 9.0"