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portada Transportation big Data: Theory and Methods
Type
Physical Book
Publisher
Author
Language
English
Pages
454
Format
Paperback
ISBN13
9780443338915
Edition No.
1

Transportation big Data: Theory and Methods

Zhiyuan Liu Phd; Ziyuan Gu Phd; Pan Liu Phd (Author) · Elsevier · Paperback

Transportation big Data: Theory and Methods - Zhiyuan Liu Phd; Ziyuan Gu Phd; Pan Liu Phd

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Delivery: 02 Oct - 07 Oct Shipping: 10 to 12 business days.
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Synopsis "Transportation big Data: Theory and Methods"

Transportation Big Data: Theory and Methods is centered on the big data theory and methods. Big data is now a key topic in transportation, simply because the volume of data has increased exponentially due to the growth in the amount of traffic (all modes) and detectors. This book provides a structured analysis of the commonly used methods for handling transportation big data; it is supported by a wealth of transportation engineering examples, together with codes. It offers a concise, yet comprehensive, description of the key techniques and important tools in transportation big data analysis.

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The binding of this edition is Paperback.

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