Project Summary

The construction of complex civil infrastructure projects, such as major transportation expansion and rehabilitation, usually faces various types of risks and uncertainties. If not managed properly, these risks and uncertainties bring significant negative impacts on project performance, causing schedule delays and cost overruns, which prevent these projects to enhance the durability and efficiency of our transportation infrastructures. This study proposes a more intelligent and proactive risk management framework, using advanced neural network analysis and simulation techniques. The methodology developed could help project teams deal with project risks and uncertainties in a more intelligent and proactive way, and thus improve project performance.