Cover for Data Analysis in Pavement Engineering

Data Analysis in Pavement Engineering

Methodologies and Applications

A volume in Woodhead Publishing Series in Civil and Structural Engineering

Book2024

Authors:

Qiao Dong, Xueqin Chen and Baoshan Huang

Data Analysis in Pavement Engineering

Methodologies and Applications

A volume in Woodhead Publishing Series in Civil and Structural Engineering

Book2024

 

Cover for Data Analysis in Pavement Engineering

Authors:

Qiao Dong, Xueqin Chen and Baoshan Huang

About the book

Browse this book

Book description

Data Analysis in Pavement Engineering: Methodologies and Applications introduces thetheories and methods as well as definitions, principles, and algorithms of data analysis applied ... read full description

Browse content

Table of contents

Actions for selected chapters

Select all / Deselect all

  1. Full text access
  2. Book chapterAbstract only

    Chapter 1 - Pavement performance data

    Pages 1-27

  3. Book chapterAbstract only

    Chapter 2 - Fundamentals of statistics

    Pages 29-66

  4. Book chapterAbstract only

    Chapter 3 - Design of experiments

    Pages 67-106

  5. Book chapterAbstract only

    Chapter 4 - Regression

    Pages 107-140

  6. Book chapterAbstract only

    Chapter 5 - Logistic regression

    Pages 141-152

  7. Book chapterAbstract only

    Chapter 6 - Count data models

    Pages 153-163

  8. Book chapterAbstract only

    Chapter 7 - Survival analysis

    Pages 165-179

  9. Book chapterAbstract only

    Chapter 8 - Time series

    Pages 181-196

  10. Book chapterAbstract only

    Chapter 9 - Stochastic process

    Pages 197-210

  11. Book chapterAbstract only

    Chapter 10 - Decision trees and ensemble learning

    Pages 211-222

  12. Book chapterAbstract only

    Chapter 11 - Neural networks

    Pages 223-245

  13. Book chapterAbstract only

    Chapter 12 - Support vector machine and k-nearest neighbors

    Pages 247-262

  14. Book chapterAbstract only

    Chapter 13 - Principal component analysis

    Pages 263-273

  15. Book chapterAbstract only

    Chapter 14 - Factor analysis

    Pages 275-287

  16. Book chapterAbstract only

    Chapter 15 - Cluster analysis

    Pages 289-301

  17. Book chapterAbstract only

    Chapter 16 - Discriminant analysis

    Pages 303-314

  18. Book chapterAbstract only

    Chapter 17 - Structural equation model

    Pages 315-336

  19. Book chapterAbstract only

    Chapter 18 - Markov chain Monte Carlo

    Pages 337-345

  20. Book chapterNo access

    Index

    Pages 347-355

About the book

Description

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.

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.

Key Features

  • This book is the first comprehensive resource to cover all potential scenarios of data analysis in pavement and transportation infrastructure research, including areas such as materials testing, performance modeling, distress detection, and pavement evaluation.
  • It provides coverage of significance tests, design of experiments, data mining, data modeling, and supervised and unsupervised machine learning techniques.
  • It summarizes the latest research in data analysis within pavement engineering, encompassing over 300 research papers.
  • It delves into the fundamental concepts, elements, and parameters of data analysis, empowering pavement engineers to undertake tasks typically reserved for statisticians and data scientists.
  • The book presents 21 step-by-step case studies, showcasing the application of the data analysis method to address various problems in pavement engineering and draw meaningful conclusions.
  • This book is the first comprehensive resource to cover all potential scenarios of data analysis in pavement and transportation infrastructure research, including areas such as materials testing, performance modeling, distress detection, and pavement evaluation.
  • It provides coverage of significance tests, design of experiments, data mining, data modeling, and supervised and unsupervised machine learning techniques.
  • It summarizes the latest research in data analysis within pavement engineering, encompassing over 300 research papers.
  • It delves into the fundamental concepts, elements, and parameters of data analysis, empowering pavement engineers to undertake tasks typically reserved for statisticians and data scientists.
  • The book presents 21 step-by-step case studies, showcasing the application of the data analysis method to address various problems in pavement engineering and draw meaningful conclusions.

Details

ISBN

978-0-443-15928-2

Language

English

Published

2024

Copyright

Copyright © 2024 Southeast University Publishing Co. Ltd. Published by Elsevier Inc. All rights reserved.

Imprint

Elsevier

Authors

Qiao Dong

Professor, Department of Roadway Engineering, School of Transportation, Southeast University, Nanjing, Jiangsu, China

Xueqin Chen

Assistant Professor, Department of Civil Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu, China

Baoshan Huang

Edwin G Burdette Professor, Department of Civil and Environmental Engineering, University of Tennessee, Knoxville, TN, United States