Cell-Based Transport Path Obstruction Detection Approach for 4D BIM Construction Planning
Publication: Journal of Construction Engineering and Management
Volume 145, Issue 3
Abstract
On-site transport is common in most construction projects. Confined by site sizes and construction schedules, many construction tasks are implemented simultaneously within limited spaces; therefore, the paths necessary for the transport of site objects are likely to be obstructed. To solve this problem, in this research, we propose a cell-based methodology for path obstruction detection and conduct a test with a prototype to determine its accuracy and time requirements. The results show that, by choosing a proper cell step, the method can determine whether a site object’s transport path is obstructed and can generate a suitable path if there is no path obstruction; otherwise, the potential obstacles can be listed and ranked based on their distances to the site object. The proposed method has the potential to support path obstruction detection in four-dimensional (4D) building information modeling (BIM) to improve the implementation of construction plans.
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Data Availability Statement
Data generated by the authors or analyzed during the study are available at: https://pan.baidu.com/s/1lFCfgeok6h2y3VtWmBEMAw. Information about the Journal’s data-sharing policy can be found here: http://ascelibrary.org/doi/10.1061/(ASCE)CO.1943-7862.0001263.
Acknowledgments
The research is funded by The Fundamental Research Fund for the Central University (No: 2016-JL-006); the Gantt chart control was developed by Jake See (available at http://ganttchart.codeplex.com). In addition, two anonymous experts gave their valuable suggestions to this paper. The authors expresses their gratitude to all of them.
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Information & Authors
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Published In
Journal of Construction Engineering and Management
Volume 145 • Issue 3 • March 2019
Copyright
©2018 American Society of Civil Engineers.
History
Received: Dec 13, 2017
Accepted: Jul 5, 2018
Published online: Dec 26, 2018
Published in print: Mar 1, 2019
Discussion open until: May 26, 2019
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