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Assessing urban transportation with ...

Yang, Dongyuan.

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Assessing urban transportation with big data analysis

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Assessing urban transportation with big data analysis/ by Dongyuan Yang, Zhengyu Duan.
作者:	Yang, Dongyuan.
其他作者:	Duan, Zhengyu.
出版者:	Singapore :Springer Nature Singapore : : 2022.,
面頁冊數:	xxxviii, 317 p. :ill. (some col.), digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Urban transportation - Data processing. -
電子資源:	https://doi.org/10.1007/978-981-19-3338-7
ISBN:	9789811933387

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

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

3378558
Urban transportation
--Data processing.

LC Class. No.: HE305

Dewey Class. No.: 388.4028557

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