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Assessing Urban Transportation with Big Data Analysis
紀錄類型:
書目-語言資料,印刷品 : 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.
面頁冊數:
XXXVIII, 317 p. 194 illus., 120 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Transportation Technology and Traffic Engineering. -
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. - 1st ed. 2022. - XXXVIII, 317 p. 194 illus., 120 illus. in color.online resource. - 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:
1069531
Transportation Technology and Traffic Engineering.
LC Class. No.: GE196
Dewey Class. No.: 304.2
Assessing Urban Transportation with Big Data Analysis
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