Mobility Patterns, Big Data and Transport Analytics - Tools and Applications for Modeling (Paperback)

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. The book covers in detail, mobility 'structural' analysis (and its dynamics), the extensive behavioral characteristics of transport, observability requirements and limitations for realistic transportation applications, and transportation systems analysis related to complex processes and phenomena. The 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.

General

Imprint:	Elsevier Science Publishing Co Inc
Country of origin:	United States
Release date:	November 2018
First published:	2019
Editors:	Constantinos Antoniou • Loukas Dimitriou • Francisco Pereira
Dimensions:	229 x 152 x 23mm (L x W x T)
Format:	Paperback
Pages:	452
ISBN-13:	978-0-12-812970-8
Categories:	Books > Professional & Technical > Transport technology > Intelligent & automated transport system technology Promotions
LSN:	0-12-812970-0
Barcode:	9780128129708

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