Abstract
Mountain rescue operations face uncertainty, difficult terrain, and limited communication. This paper introduces a modular platform combining agent-based simulation in Unity with a microservice decision engine for real-time risk assessment. The system models weather, avalanches, tourist and animal movement, and processes sensor data using logic-based inference and machine learning. Early results confirm sub-second latency and high accuracy in hazard detection. Beyond technical capabilities, the platform proposes a cloud-based, data-driven business model designed for scalable deployment in rescue services, insurance, and tourism management.
Paper Type
Poster
DOI
10.62036/ISD.2025.146
A Modular Simulation and Decision Platform for Enhancing Mountain Rescue Operations
Mountain rescue operations face uncertainty, difficult terrain, and limited communication. This paper introduces a modular platform combining agent-based simulation in Unity with a microservice decision engine for real-time risk assessment. The system models weather, avalanches, tourist and animal movement, and processes sensor data using logic-based inference and machine learning. Early results confirm sub-second latency and high accuracy in hazard detection. Beyond technical capabilities, the platform proposes a cloud-based, data-driven business model designed for scalable deployment in rescue services, insurance, and tourism management.
Recommended Citation
Klimek, R., Łazarz, K., Pałucki, M. & Świątek, M. (2025). A Modular Simulation and Decision Platform for Enhancing Mountain Rescue OperationsIn I. Luković, S. Bjeladinović, B. Delibašić, D. Barać, N. Iivari, E. Insfran, M. Lang, H. Linger, & C. Schneider (Eds.), Empowering the Interdisciplinary Role of ISD in Addressing Contemporary Issues in Digital Transformation: How Data Science and Generative AI Contributes to ISD (ISD2025 Proceedings). Belgrade, Serbia: University of Gdańsk, Department of Business Informatics & University of Belgrade, Faculty of Organizational Sciences. ISBN: 978-83-972632-1-5. https://doi.org/10.62036/ISD.2025.146