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Logic-driven traffic big data analyt...

Zhong, Shaopeng.

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Logic-driven traffic big data analytics = methodology and applications for planning /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Logic-driven traffic big data analytics/ by Shaopeng Zhong, Daniel (Jian) Sun.
其他題名:	methodology and applications for planning /
作者:	Zhong, Shaopeng.
其他作者:	Sun, Daniel.
出版者:	Singapore :Springer Singapore : : 2022.,
面頁冊數:	xxii, 280 p. :ill. (chiefly col.), digital ;24 cm.
內容註:	Logic driven traffic big data analytics: An introduction -- Statistical models and methods -- Spatial-temporal distribution model for travel origin-destination based on multi-source data -- Analyzing spatiotemporal congestion pattern on urban roads based on taxi GPS data -- A ride-sourcing group prediction model based on convolutional neural network.
Contained By:	Springer Nature eBook
標題:	Traffic surveys - Data processing. -
電子資源:	https://doi.org/10.1007/978-981-16-8016-8
ISBN:	9789811680168

Logic-driven traffic big data analytics = methodology and applications for planning /
Zhong, Shaopeng.

Logic-driven traffic big data analyticsmethodology and applications for planning /[electronic resource] :by Shaopeng Zhong, Daniel (Jian) Sun. - Singapore :Springer Singapore :2022. - xxii, 280 p. :ill. (chiefly col.), digital ;24 cm.

Logic driven traffic big data analytics: An introduction -- Statistical models and methods -- Spatial-temporal distribution model for travel origin-destination based on multi-source data -- Analyzing spatiotemporal congestion pattern on urban roads based on taxi GPS data -- A ride-sourcing group prediction model based on convolutional neural network.

This book starts from the relationship between urban built environment and travel behavior and focuses on analyzing the origin of traffic phenomena behind the data through multi-source traffic big data, which makes the book unique and different from the previous data-driven traffic big data analysis literature. This book focuses on understanding, estimating, predicting, and optimizing mobility patterns. Readers can find multi-source traffic big data processing methods, related statistical analysis models, and practical case applications from this book. This book bridges the gap between traffic big data, statistical analysis models, and mobility pattern analysis with a systematic investigation of traffic big data's impact on mobility patterns and urban planning.

ISBN: 9789811680168

Standard No.: 10.1007/978-981-16-8016-8doiSubjects--Topical Terms:

3591808
Traffic surveys
--Data processing.

LC Class. No.: HE336.A8 / Z56 2022

Dewey Class. No.: 388.314

Logic-driven traffic big data analytics = methodology and applications for planning /
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