JOURNAL ARTICLE

AI for Improving Construction Safety: A Systematic Literature Review

Zhili GaoAsad Sultan

Year: 2023 Journal:   EPiC series in built environment Vol: 4 Pages: 354-344

Abstract

Artificial intelligence (AI) has been adopted and applied in many fields and has now become one of the emerging technologies in the automation of the construction industry, which has gained a lot of attention from researchers in recent years. Much research work has been done on applying AI to improve construction safety. However, the current research work is focused on improving safety in separate individual construction tasks and the developed models lack real-world applications. Therefore, a systematic literature review has been conducted on the use of AI including machine learning and deep learning in improving safety in construction practice. After the review of the existing literature, the current applications and practices of AI are identified and classified. This will help in developing a new generalized framework that focuses on the entire construction process for improving safety. The limitations and the potential improvements in the existing AI techniques have been identified which will benefit future studies.

Keywords:
Systematic review Automation Process (computing) Computer science Risk analysis (engineering) Applications of artificial intelligence Work (physics) Data science Artificial intelligence Engineering

Metrics

3
Cited By
1.06
FWCI (Field Weighted Citation Impact)
38
Refs
0.73
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Occupational Health and Safety Research
Health Sciences →  Health Professions →  Radiological and Ultrasound Technology
Infrastructure Maintenance and Monitoring
Physical Sciences →  Engineering →  Civil and Structural Engineering
BIM and Construction Integration
Physical Sciences →  Engineering →  Building and Construction

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