Assessing Urban Transportation with Big Data Analysis [electronic resource] / by Dongyuan Yang, Zhengyu Duan.

By:

Yang, Dongyuan [author.]

Contributor(s):

Duan, Zhengyu [author.]

Material type: Text

TextSeries: Urban SustainabilityPublisher: Singapore : Springer Nature Singapore : Imprint: Springer, 2022Edition: 1st ed. 2022Description: XXXVIII, 317 p. 194 illus., 120 illus. in color. online resourceISBN:

9789811933387

Subject(s):

DDC classification:

304.2 23

Online resources:

Click Here

Contents:

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.

Summary: 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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Holdings
Item type	Current library	Call number	Materials specified	Status	Date due	Barcode	Item holds
E-Books	National Library of India Online Resource	304.2 (Browse shelf(Opens below))		Available		EBK000033247ENG

Total holds: 0

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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