In recent years there has been a significant amount of research aiming to increase the efficiency of Building Information Modelling (BIM) based multidisciplinary coordination process. However, unanticipated increases in cost and delays in construction projects are still visible. According to the literature, one of the principal factors affecting the efficiency of BIM-based multidisciplinary coordination and construction process is the conflict between the systems of different design disciplines. Recent years have seen a surge of automatic clash detection tools and strategies. These have provided clear benefits to the construction process by helping to reduce the number of errors discovered on-site, but the significance of this effect is hindered by the inefficiency of the clash resolution process due to the vast number of identified clashes and the resources needed to resolve them. Researchers have started focusing on devising strategies for clash avoidance during the design process to address this phenomenon. Our work is an attempt to present a literature overview of these clash avoidance strategies that range from shared situational awareness to supervised and hybrid machine learning frameworks. This work identified that the most prominent causes of clashes directly occur during the preliminary phases of multidisciplinary coordination which are generating the specialty models and federated models. Additionally, the lack of studies on proper standardized documentation of lessons learned in BIM-based multidisciplinary coordination is also recognized in this study which points toward future research directions for developing such guidelines.
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