| 書(shū)目名稱(chēng) | Logic-Driven Traffic Big Data Analytics |
| 副標(biāo)題 | Methodology and Appl |
| 編輯 | Shaopeng Zhong,Daniel (Jian) Sun |
| 視頻video | http://file.papertrans.cn/589/588113/588113.mp4 |
| 概述 | Provides a complete set of logic-driven traffic big data analysis method.Uses a wealth of practical cases to introduce the methods in this book.Bridges the gap between traffic big data, statistical an |
| 圖書(shū)封面 |  |
| 描述 | .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.. |
| 出版日期 | Book 2022 |
| 關(guān)鍵詞 | Transportation Planning; Urban Planning; Traffic Big Data; Built Environment and Travel Behavior; Machin |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-981-16-8016-8 |
| isbn_softcover | 978-981-16-8018-2 |
| isbn_ebook | 978-981-16-8016-8 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor |
|Archiver|手機(jī)版|小黑屋|
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