Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/162132
Title: Roles of artificial intelligence in construction engineering and management: a critical review and future trends
Authors: Pan, Yue
Zhang, Limao
Keywords: Engineering::Civil engineering
Issue Date: 2021
Source: Pan, Y. & Zhang, L. (2021). Roles of artificial intelligence in construction engineering and management: a critical review and future trends. Automation in Construction, 122, 103517-. https://dx.doi.org/10.1016/j.autcon.2020.103517
Project: 04MNP000279C120
04MNP002126C120
04INS000423C120
Journal: Automation in Construction
Abstract: With the extensive adoption of artificial intelligence (AI), construction engineering and management (CEM) is experiencing a rapid digital transformation. Since AI-based solutions in CEM has become the current research focus, it needs to be comprehensively understood. In this regard, this paper presents a systematic review under both scientometric and qualitative analysis to present the current state of AI adoption in the context of CEM and discuss its future research trends. To begin with, a scientometric review is performed to explore the characteristics of keywords, journals, and clusters based on 4,473 journal articles published in 1997–2020. It is found that there has been an explosion of relevant papers especially in the past 10 years along with the change in keyword popularity from expert systems to building information modeling (BIM), digital twins, and others. Then, a brief understanding of CEM is provided, which can be benefited from the emerging trend of AI in terms of automation, risk mitigation, high efficiency, digitalization, and computer vision. Special concerns have been put on six hot research topics that amply the advantage of AI in CEM, including (1) knowledge representation and reasoning, (2) information fusion, (3) computer vision, (4) natural language processing, (5) intelligence optimization, and (6) process mining. The goal of these topics is to model, predict, and optimize issues in a data-driven manner throughout the whole lifecycle of the actual complex project. To further narrow the gap between AI and CEM, six key directions of future researches, such as smart robotics, cloud virtual and augmented reality (cloud VR/AR), Artificial Intelligence of Things (AIoT), digital twins, 4D printing, and blockchains, are highlighted to constantly facilitate the automation and intelligence in CEM.
URI: https://hdl.handle.net/10356/162132
ISSN: 0926-5805
DOI: 10.1016/j.autcon.2020.103517
Rights: © 2020 Elsevier B.V. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:CEE Journal Articles

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