Logic-Driven Traffic Big Data Analytics

Methodology and Applications for Planning

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Éditeur :

Springer


Paru le : 2022-02-01



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Description

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.

Pages
280 pages
Collection
n.c
Parution
2022-02-01
Marque
Springer
EAN papier
9789811680151
EAN EPUB
9789811680168

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
28
Taille du fichier
45158 Ko
Prix
126,59 €

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