001449705 000__ 02897cam\a2200565\i\4500
001449705 001__ 1449705
001449705 003__ OCoLC
001449705 005__ 20230310004414.0
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001449705 007__ cr\cn\nnnunnun
001449705 008__ 220923s2022\\\\si\a\\\\ob\\\\000\0\eng\d
001449705 019__ $$a1345584901
001449705 020__ $$a9789811933387$$q(electronic bk.)
001449705 020__ $$a9811933383$$q(electronic bk.)
001449705 020__ $$z9789811933370
001449705 020__ $$z9811933375
001449705 0247_ $$a10.1007/978-981-19-3338-7$$2doi
001449705 035__ $$aSP(OCoLC)1345460869
001449705 040__ $$aYDX$$beng$$erda$$epn$$cYDX$$dGW5XE$$dEBLCP$$dOCLCF$$dN$T$$dOCLCQ
001449705 0411_ $$aeng$$hchi
001449705 049__ $$aISEA
001449705 050_4 $$aHE305
001449705 08204 $$a388.40285/57$$223/eng/20221006
001449705 1001_ $$aYang, DongYuan,$$eauthor.
001449705 24510 $$aAssessing urban transportation with big data analysis /$$cDongyuan Yang, Zhengyu Duan.
001449705 264_1 $$aSingapore :$$bSpringer ;$$a[Shanghai] :$$bTongji University Press,$$c[2022]
001449705 264_4 $$c©2022
001449705 300__ $$a1 online resource (xxxviii, 317 pages) :$$billustrations (some color).
001449705 336__ $$atext$$btxt$$2rdacontent
001449705 337__ $$acomputer$$bc$$2rdamedia
001449705 338__ $$aonline resource$$bcr$$2rdacarrier
001449705 4901_ $$aUrban sustainability
001449705 504__ $$aIncludes bibliographical references.
001449705 5050_ $$aRational 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.
001449705 506__ $$aAccess limited to authorized users.
001449705 520__ $$aThis 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.
001449705 546__ $$aTranslated from Chinese.
001449705 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed October 6, 2022).
001449705 650_0 $$aUrban transportation$$xData processing.
001449705 650_0 $$aBig data.
001449705 655_0 $$aElectronic books.
001449705 7001_ $$aDuan, Zhengyu,$$eauthor.
001449705 77608 $$iPrint version:$$z9811933375$$z9789811933370$$w(OCoLC)1313388030
001449705 830_0 $$aUrban sustainability.
001449705 852__ $$bebk
001449705 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-19-3338-7$$zOnline Access$$91397441.1
001449705 909CO $$ooai:library.usi.edu:1449705$$pGLOBAL_SET
001449705 980__ $$aBIB
001449705 980__ $$aEBOOK
001449705 982__ $$aEbook
001449705 983__ $$aOnline
001449705 994__ $$a92$$bISE