Engineering Information Management Systems (EIMS) and Machine Learning: Integrated Tools for Infrastructure Project Management and Sustainable Development (Development Road as a Model)

Abstract

This study is trying to find out how engineering information management system (EIMS) can be integrated with machine learning techniques to improve infrastructure project management and support sustainable development. In this context, applications of EIMS systems were analyzed in large projects such as "Development Road" in Iraq, where these systems play an important role in monitoring and analysis of data related to engineering projects. By integrating machine learning with EIMS, energy efficiency can be improved and more accurate decision -making by predicting patterns can reduce costs. These devices help improve performance, save resources and support environment and financial strategies to increase project stability. The study project will show the impact of these units in an increase in efficiency and develop a permanent approach that can be used on future infrastructure projects.