Share
Logic-Driven Traffic Big Data Analytics: Methodology and Applications for Planning
Shaopeng Zhong
(Author)
·
Sun
(Author)
·
Springer
· Paperback
Logic-Driven Traffic Big Data Analytics: Methodology and Applications for Planning - Zhong, Shaopeng ; Sun
Choose the list to add your product or create one New List
✓ Product added successfully to the Wishlist.
Go to My Wishlists
Origin: U.S.A.
(Import costs included in the price)
It will be shipped from our warehouse between
Thursday, July 18 and
Thursday, July 25.
You will receive it anywhere in United Kingdom between 1 and 3 business days after shipment.
Synopsis "Logic-Driven Traffic Big Data Analytics: Methodology and Applications for Planning"
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.
- 0% (0)
- 0% (0)
- 0% (0)
- 0% (0)
- 0% (0)
All books in our catalog are Original.
The book is written in English.
The binding of this edition is Paperback.
✓ Producto agregado correctamente al carro, Ir a Pagar.
