| contributor author | Qiankun Wang; Zeng Guo; Kwabena Mintah; Qianyao Li; Tingting Mei; Peng Li | |
| date accessioned | 2019-03-10T12:00:57Z | |
| date available | 2019-03-10T12:00:57Z | |
| date issued | 2019 | |
| identifier other | %28ASCE%29CO.1943-7862.0001583.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4254645 | |
| description 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. | |
| publisher | American Society of Civil Engineers | |
| title | Cell-Based Transport Path Obstruction Detection Approach for 4D BIM Construction Planning | |
| type | Journal Paper | |
| journal volume | 145 | |
| journal issue | 3 | |
| journal title | Journal of Construction Engineering and Management | |
| identifier doi | 10.1061/(ASCE)CO.1943-7862.0001583 | |
| page | 04018141 | |
| tree | Journal of Construction Engineering and Management:;2019:;Volume ( 145 ):;issue: 003 | |
| contenttype | Fulltext | |