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Assessing urban transportation with big data analysis

Record Type:	Electronic resources : Monograph/item
Title/Author:	Assessing urban transportation with big data analysisby Dongyuan Yang, Zhengyu Duan.
Author:	Yang, Dongyuan.
other author:	Duan, Zhengyu.
Published:	Singapore :Springer Nature Singapore :2022.
Description:	xxxviii, 317 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Urban transportationData processing.
Online resource:	https://doi.org/10.1007/978-981-19-3338-7
ISBN:	9789811933387$q(electronic bk.)

Assessing urban transportation with big data analysis
Yang, Dongyuan.

Assessing urban transportation with big data analysis[electronic resource] /by Dongyuan Yang, Zhengyu Duan. - Singapore :Springer Nature Singapore :2022. - xxxviii, 317 p. :ill. (some col.), digital ;24 cm. - Urban sustainability,2731-6491. - Urban sustainability..

Rational Thinking of Big Data "Fever" -- Urban Transportation Monitoring Based on the Concept of Complex Adaptive System -- Inheritance and Transformation of Technology -- Feature Extraction, Cluster Analysis and Object Representation -- Correlation Analysis and Research -- Information Fusion and Establishing of Evidence Collection -- Nesting Analysis of Big Data and Small Sample Data -- Conclusion and Prospect.

This book chiefly focuses on urban traffic, an area supported by massive amounts of data. The application of big data to urban traffic provides strategic and technical methods for the multi-directional and in-depth observation of complex adaptive systems, thus transforming conventional urban traffic planning and management methods. Sharing valuable insights into how big data can be applied to urban traffic, it offers a valuable asset for information technicians, traffic engineers and traffic data analysts alike.

ISBN: 9789811933387$q(electronic bk.)

Standard No.: 10.1007/978-981-19-3338-7doiSubjects--Topical Terms:

831247
Urban transportation
--Data processing.

LC Class. No.: HE305

Dewey Class. No.: 388.4028557

Assessing urban transportation with big data analysis
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505 0 $a Rational Thinking of Big Data "Fever" -- Urban Transportation Monitoring Based on the Concept of Complex Adaptive System -- Inheritance and Transformation of Technology -- Feature Extraction, Cluster Analysis and Object Representation -- Correlation Analysis and Research -- Information Fusion and Establishing of Evidence Collection -- Nesting Analysis of Big Data and Small Sample Data -- Conclusion and Prospect.
520 $a This book chiefly focuses on urban traffic, an area supported by massive amounts of data. The application of big data to urban traffic provides strategic and technical methods for the multi-directional and in-depth observation of complex adaptive systems, thus transforming conventional urban traffic planning and management methods. Sharing valuable insights into how big data can be applied to urban traffic, it offers a valuable asset for information technicians, traffic engineers and traffic data analysts alike.
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