Proposta de utilização de ferramenta de inteligência artificial na mobilidade em desastres decorrentes de chuvas: simulação a um município brasileiro

Abstract

This work addresses the simulation of the application of Artificial Intelligence (AI) and new technologies to enhance mobility during natural disasters, specifically in the case of rainfall events. The study is justified by the increasing frequency and intensity of such events due to climate change, as exemplified by the state of Rio Grande do Sul, where 96% of the territory was affected by the 2024 disaster. Mobility, in this context, refers to facilitating the safe and efficient movement of people during and after a disaster, both for evacuation purposes and to ensure access for emergency response teams.The main objective was to develop a demand mapping tool based on artificial intelligence to support mobility during natural disasters caused by heavy rains. The methodology included document analysis of 75 contingency plans and a case study involving the simulation of three demand mapping scenarios in disaster management. The simulation was conducted in the municipality of Cachoeiro de Itapemirim, selected due to the availability of information such as three alert levels and some form of impact estimation - characteristics present in 26.67% of the analyzed plans. The results indicated that the use of this technology enables real-time data analysis, allowing for a more efficient allocation of resources and more effective communication between rescue teams and the affected population. It is concluded that the proposed AI- and technology-based tool can drastically reduce response time for demand mapping in disaster mobility management.