Data-Driven Solutions to Transportation Problems

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Éditeur :

Elsevier


Paru le : 2018-12-04

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Description
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
Pages
299 pages
Collection
n.c
Parution
2018-12-04
Marque
Elsevier
EAN papier
9780128170267
EAN EPUB SANS DRM
9780128170274

Informations sur l'ebook
Prix
532,77 €

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