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Advanced industrial informatics towards smart, safe and sustainable roads: A state of the art

Hui Yao, Zijin Xu, Yue Hou, Qiao Dong, Pengfei Liu Orcid Logo, Zhoujing Ye Orcid Logo, Xin Pei, Markus Oeser, Linbing Wang, Dawei Wang Orcid Logo

Journal of Traffic and Transportation Engineering (English Edition), Volume: 10, Issue: 2

Swansea University Author: Yue Hou

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Abstract

The road is one of the most important civil infrastructures for serving society, where its service quality and life have direct impacts on the safety and comfort of users. Therefore, road construction, condition detection and monitoring, and timely maintenance are particularly important for engineer...

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Published in: Journal of Traffic and Transportation Engineering (English Edition)
ISSN: 2095-7564
Published: Elsevier BV 2023
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa63058
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Abstract: The road is one of the most important civil infrastructures for serving society, where its service quality and life have direct impacts on the safety and comfort of users. Therefore, road construction, condition detection and monitoring, and timely maintenance are particularly important for engineers. Many engineering applications of industrial informatics approaches, like image processing technology, widely used computer-based algorithms, and advanced sensors, have been initially and gradually applied to roads. This state-of-the-art review first summarized the research on industrial applications of advanced information technologies in recent years, while analyzing and comparing the advantages and disadvantages of each technology. Especially, five topics were focused on road construction, road maintenance with decision strategy, road structure evaluation, smart sensing in the road, and cooperative vehicle infrastructure system. It is expected that advanced industrial informatics can help engineers promote the development of smart, safe, and sustainable roads.
Keywords: Advanced industrial informatics, Road construction, Road maintenance, Decision strategy, Pavement structure and material, Smart sensing, Cooperative vehicle infrastructure system
College: Faculty of Science and Engineering
Funders: This work was supported by the Hunan Department of Transportation (No. 202152) in China, Natural Science Foundation of Heilongjiang Province of China (JJ2020ZD0015), the Opening Project Fund of Materials Service Safety Assessment Facilities (MSAF-2021-005, MSAF-2021-109), and German Research Foundation (DFG) under Grant No. SFB/TRR 339 (453596084).
Issue: 2