Abstract
Big data analytics has brought about positive change to civil engineering infrastructure monitoring, project control and management, and envisioning smart cities. ensors along with more sophisticated data processing methods enable engineers to gather massive amounts of data which in turn can be utilized making useful decisions, carry out predictive analyses on when machinery might require maintenance, or where resources should be utilized to the maximum. This paper focuses on analysing the way big data is used and applied in civil engineering and the advancement that can be made in safety, costs and sustainability of an infrastructure project. Nevertheless, issues including the quality of data, cost sensitivity, and scarcity of talent are also presented.
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