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Mobility patterns, big data and transport analytics : tools and applications for modeling

From

Transport, Department of Technology, Management and Economics, Technical University of Denmark1

Machine Learning, Transport, Department of Technology, Management and Economics, Technical University of Denmark2

Department of Technology, Management and Economics, Technical University of Denmark3

Mobility Patterns, Big Data and Transport Analytics provides a guide to the new analytical framework and its relation to big data, focusing on capturing, predicting, visualizing and controlling mobility patterns - a key aspect of transportation modeling. The book features prominent international experts who provide overviews on new analytical frameworks, applications and concepts in mobility analysis and transportation systems.

Users will find a detailed, mobility ‘structural’ analysis and a look at the extensive behavioral characteristics of transport, observability requirements and limitations for realistic transportation applications and transportation systems analysis that are related to complex processes and phenomena.

This book bridges the gap between big data, data science, and transportation systems analysis with a study of big data’s impact on mobility and an introduction to the tools necessary to apply new techniques.

Language: English
Publisher: Elsevier Editora
Year: 2019
ISBN: 0128129700 , 0128129719 , 9780128129708 and 9780128129715
Types: Book
ORCIDs: Pereira, Francisco

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