Abstract
Infrastructure damage from flooding can have detrimental social, environmental, and economic repercussions. Flood risks can have an impact on road networks, which are made up of interconnected linkages designed to meet public transportation needs. Flood-related damage to the road surface can raise questions about the dependability and connection of the road network. In this study, flood simulation was performed, and the information gathered was then analysed to determine the flood depth, followed by Monte Carlo simulation to determine the Source-Terminal (S-T) reliability. This research creates a novel method written in a comprehensive programming language, allowing decision-makers to be aware of the S-T reliability of road networks. When planning, this developed approach helps decision-makers make informed choices that will improve the reliability of road networks.
Published Version
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