Digital Transformation for Intelligent Road Condition Assessment

Sicen Guo*, Yue Bai, Mohammud Junaid Bocus, Rui Fan

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapter in a book

1 Citation (Scopus)

Abstract

Recently, governments have been resorting to cutting-edge artificial intelligence technologies to facilitate the digital transformation of smart cities. Remarkable progress has been made to strengthen smart city governance and sustainability, especially in road condition assessment. Road data acquisition and defect detection, two major processes of intelligent road condition assessment, play an important role in ensuring road maintainability while providing maximum traffic security and driving comfort. Traditional manual visual inspection is inefficient and lacks objectivity. Therefore, intelligent road condition assessment systems developed based on data-driven techniques have received increasing attention. This chapter presents the state-of-the-art intelligent road condition assessment systems, the existing challenges, and future development trends.

Original languageEnglish
Title of host publicationLecture Notes in Networks and Systems
PublisherSpringer Science and Business Media Deutschland GmbH
Pages511-533
Number of pages23
DOIs
Publication statusPublished - 15 Nov 2022

Publication series

NameLecture Notes in Networks and Systems
Volume549
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Bibliographical note

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

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