North Carolina Department of Transportation
Research & Innovation Summit – 2020

Model-Driven Decision Making for Road Asset Protection before a Hurricane

Authors: Sachin Mhatre and Xiuli Qu
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Natural disasters, such as hurricanes, winter storms and floods, are predictable. Thus, as such disaster approaches, government agencies need to prepare for the disaster to minimize its impact on critical infrastructure such as transportation system. The effective protection of road segments and devices at risk can reduce the road damage and closures caused by natural disasters, and hence plays an important role in humanitarian operations and community recovery after the disasters. To support the protection of road transportation system, we developed a two-stage stochastic integer linear programming model for road asset protection decisions before a hurricane.


For questions about this research, contact Sachin Mhatre at