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contributor authorQiankun Wang; Zeng Guo; Kwabena Mintah; Qianyao Li; Tingting Mei; Peng Li
date accessioned2019-03-10T12:00:57Z
date available2019-03-10T12:00:57Z
date issued2019
identifier other%28ASCE%29CO.1943-7862.0001583.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4254645
description abstractOn-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.
publisherAmerican Society of Civil Engineers
titleCell-Based Transport Path Obstruction Detection Approach for 4D BIM Construction Planning
typeJournal Paper
journal volume145
journal issue3
journal titleJournal of Construction Engineering and Management
identifier doi10.1061/(ASCE)CO.1943-7862.0001583
page04018141
treeJournal of Construction Engineering and Management:;2019:;Volume ( 145 ):;issue: 003
contenttypeFulltext


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