Virtual Reality based System for Flood Rescue Management

Floods cause severe disruptions to human life, infrastructure, and economies, leading to urgent relief and resource allocation challenges. Traditional relief efforts often face logistical constraints, delays, and inefficiencies in assessing and fulfilling victims' needs. To address these challenges, this paper proposes a VR-Enabled Post-Flood Relief and Resource Allocation System that leverages virtual reality technology for efficient disaster response. The system allows authorities to assess victims’ needs remotely in an unmanned environment, ensuring timely and accurate distribution of essential resources such as food, clean water, medicine, and shelter. By providing an immersive and interactive platform, VR enhances situational awareness, optimizing decision-making and resource management. This technology-driven approach minimizes human intervention in hazardous conditions while improving the effectiveness of relief efforts. The proposed model integrates real-time data collection, AI-based need assessment, and automated resource dispatch to streamline post-flood rehabilitation. Experimental results demonstrate the system’s potential to enhance disaster management strategies, reduce response times, and improve aid distribution accuracy.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-24
DOI
https://doi.org/10.5281/zenodo.15078312
Primary Topic
History of Computing Technologies
Type
article
Field-Weighted Citation Impact
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article

Virtual Reality based System for Flood Rescue Management

Zenodo (CERN European Organization for Nuclear Research)
History of Computing Technologies
article

Virtual Reality based System for Flood Rescue Management

article en

Abstract

Floods cause severe disruptions to human life, infrastructure, and economies, leading to urgent relief and resource allocation challenges. Traditional relief efforts often face logistical constraints, delays, and inefficiencies in assessing and fulfilling victims' needs. To address these challenges, this paper proposes a VR-Enabled Post-Flood Relief and Resource Allocation System that leverages virtual reality technology for efficient disaster response. The system allows authorities to assess victims’ needs remotely in an unmanned environment, ensuring timely and accurate distribution of essential resources such as food, clean water, medicine, and shelter. By providing an immersive and interactive platform, VR enhances situational awareness, optimizing decision-making and resource management. This technology-driven approach minimizes human intervention in hazardous conditions while improving the effectiveness of relief efforts. The proposed model integrates real-time data collection, AI-based need assessment, and automated resource dispatch to streamline post-flood rehabilitation. Experimental results demonstrate the system’s potential to enhance disaster management strategies, reduce response times, and improve aid distribution accuracy.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 49%
History of Computing Technologies
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