Can I read Logic-Driven Traffic Big Data Analytics : Methodology and Applications for Planning on EtoBox?

Logic-Driven Traffic Big Data Analytics : Methodology and Applications for Planning by Shaopeng Zhong, Daniel (Jian) Sun is a nonfiction available to read on EtoBox.

What is Logic-Driven Traffic Big Data Analytics : Methodology and Applications for Planning about?

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.

Who reads Logic-Driven Traffic Big Data Analytics : Methodology and Applications for Planning?

Author

Shaopeng Zhong, Daniel (Jian) Sun

Publisher

Springer Nature Singapore Pte Ltd Fka Springer Science + Business Media Singapore Pte Ltd

Published

2022

Language

EN

ISBN

9789811680151

Category

nonfiction

Subjects

Business, Engineering, Science