Description: Logic-driven Traffic Big Data Analytics : Methodology and Applications for Planning, Hardcover by Zhong, Shaopeng; Sun, Daniel, ISBN 9811680159, ISBN-13 9789811680151, Brand New, Free shipping in the US 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 th 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.
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Book Title: Logic-Driven Traffic Big Data Analytics : Methodology and Applications for Planning
Number of Pages: Xxii, 280 Pages
Language: English
Publisher: Springer
Publication Year: 2022
Topic: Engineering (General), Operations Research, Data Processing
Illustrator: Yes
Genre: Computers, Technology & Engineering, Business & Economics
Item Weight: 22 Oz
Item Length: 9.3 in
Author: Shaopeng Zhong, Daniel (Jian) Sun
Item Width: 6.1 in
Format: Hardcover
