eBook - Automation and Computational Intelligence for Road Maintenance and Management : Advances and Applications

  • ISBN: 9789373328904
  • 544 pages

Available Exclusively as an eBook | Part of the AI eBook Collection | Only for Institutional Purchase | Publication Year: 2022

Description

Automation and Computational Intelligence for Road Maintenance and Management provides a comprehensive overview of advanced computational techniques and automation in infrastructure management. It covers emerging technologies like AI, fuzzy logic, evolutionary computing, and remote sensing applied to road maintenance, inspection, and evaluation, serving as a key resource for researchers and students in transportation engineering.

About the Author

Hamzeh Zakeri is Adjunct Research Professor for the Department of Civil and Environment Engineering, Amirkabir University of Technology; Fereidoon Moghadas Nejad is Professor and Head of Transportation Group at Amirkabir University of Technology; Amir H. Gandomi is Professor of Data Science and ARC DECRA Fellow at University of Technology, Sydney.

Table of Contents

1 Concepts and Foundations Automation and Emerging Technologies

2 The Structure and Framework of Automation and Key Performance Indices (KPIs)

3 Advanced Images Processing Techniques

4 Fuzzy and Its Recent Advances

5 Automatic Detection and Its Applications in Infrastructure

6 Feature Extraction and Fragmentation Methods

7 Feature Prioritization and Selection Methods

8 Classification Methods and Its Applications in Infrastructure Management

9 Models of Performance Measures and Quantification in Automation

10 Nature-Inspired Optimization Algorithms (NIOAs)

Appendix A Data Sets and Codes

Appendix B The Glossary of Nature-Inspired Optimization Algorithms (NIOAS)

Appendix C Sample Code for Feature Selection

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