Safety Risk Diagnosis Based on Motion Trajectory for Construction Workers: An Integrated Approach-Reference-Cited by-同舟云学术

Safety Risk Diagnosis Based on Motion Trajectory for Construction Workers: An Integrated Approach

Published:2023-11 Issue:11 Volume:149 Page:
ISSN:0733-9364
Container-title:Journal of Construction Engineering and Management
language:en
Short-container-title:J. Constr. Eng. Manage.

Author:

Duan Pinsheng¹,Zhou Jianliang²,Goh Yang Miang³^ORCID

Affiliation:

1. Ph.D. Candidate, School of Mechanics and Civil Engineering, China Univ. of Mining and Technology, Xuzhou, Jiangsu 221116, China.

2. Professor, School of Mechanics and Civil Engineering, China Univ. of Mining and Technology, Xuzhou, Jiangsu 221116, China (corresponding author).

3. Associate Professor, Dept. of the Built Environment, College of Design and Engineering, National Univ. of Singapore, 4 Architecture Dr., Singapore 117566. ORCID:

Publisher

American Society of Civil Engineers (ASCE)

Subject

Strategy and Management,Industrial relations,Building and Construction,Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/JCEMD4.COENG-13673

Reference54 articles.

1. Semantic trajectory insights for worker safety in dynamic environments

2. Rectangular and hexagonal grids used for observation, experiment and simulation in ecology

3. A context-augmented deep learning approach for worker trajectory prediction on unstructured and dynamic construction sites

4. Hazard identification, risk assessment and control for dam construction safety using an integrated BWM and MARCOS approach under interval type-2 fuzzy sets environment

5. A proactive workers' safety risk evaluation framework based on position and posture data fusion

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