Flood Monitoring in Smart Cities Based on Fuzzy Logic about Urban Open Data

A new method for urban flood monitoring based on fuzzy logic for issue alerts on a geographic map was showed. The model is designed to receive information from remote sensing water level over TCP/IP protocol and operate intelligently based on fuzzy rules with inference by Mamdani model from urban open data, providing free information access containing flood alert states and flooding with georeferencing that can help cities to become smart cities. The model was validated by case studies analysis with real sensors that generate a set of pre-planned test data. The issue alerts on geographical maps in real-time corroborated presented in this work for the acceptance of fuzzy logic in the urban monitoring flood with high performance, being able to act autonomously providing information to drivers for avoid undesirable routes.