AI-Enhanced Building Information Modeling and Big Data Analytics for Civil Engineering Innovation

The integration of Artificial Intelligence (AI),Building Information Modeling (BIM), and big data analytics is emerging as a critical enabler for the digital transformation of civil engineering. By combining predictive modeling, machine learning, and computer vision with large-scale data processing, BIM platforms can evolve into adaptive decision-support systems. This research introduces a prototype platform designed to optimize building design, resource allocation, and regulatory compliance, while simultaneously analyzing heterogeneous data sources generated throughout the construction lifecycle. The incorporation of big data analytics allows for the identification of patterns and correlations that enhance predictive accuracy and improve real-time monitoring. Preliminary applications in urban infrastructure projects demonstrate measurable gains in resource efficiency, risk mitigation, and project delivery times. Despite these promising results, broader empirical validation and sustained research funding remain essential to generalize findings across diverse construction scenarios. The study positions AI-BIM integration, supported by big data analysis, as a pivotal step toward intelligent, data-driven, and sustainable construction engineering.