Data Analysis in Pavement Engineering: Methodologies and Applications introduces the
theories and methods as well as definitions, principles, and algorithms of data analysis applied
in pavement and transportation infrastructure analysis, tests, maintenance, and operation.
This book provides case studies that demonstrate how these methods can be applied to
solve problems in pavement engineering. Through these real-life examples, readers can gain
a better understanding of how to utilize these data analysis techniques effectively.
Data Analysis in Pavement Engineering: Methodologies and Applications serves as a
reference for engineers or a textbook for graduate and senior undergraduate students in
disciplines related to transportation infrastructure.
ISBN: | 9780443159282 |
Publication date: | 9th November 2023 |
Author: | Qiao Dong, Xueqin Chen, Baoshan Huang |
Publisher: | Elsevier an imprint of Elsevier Science |
Format: | Paperback |
Pagination: | 205 pages |
Series: | Woodhead Publishing Series in Civil and Structural Engineering |
Genres: |
Civil engineering, surveying and building |