Logic-Driven Traffic Big Data Analytics: Methodology and Applications for Planning
- ISBN-10
- 9811680167
- ISBN-13
- 9789811680168
- Category
- Business & Economics
- Pages
- 296
- Language
- English
- Published
- 2022
- Publisher
- Springer Nature
- Authors
- Daniel, Shaopeng Zhong
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 datas impact on mobility patterns and urban planning.
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Other editions
-
- 2022-02-23
- 280 pages
- Paperback
- Springer
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