MODELING OF INTELLIGENT ROUTES OF HUMANITARIAN CARGO TRANSPORTATION IN WARTIME CONDITIONS

Abstract

The article analyzes the largest humanitarian crisis in Europe since World War II, stemming from the full-scale military aggression initiated on the territory of Ukraine in February 2022. The escalation of the conflict has led to a significant increase in humanitarian aid; however, its delivery and distribution face challenges due to the destruction of transportation and communication infrastructure. The article proposes the use of the ArcGIS system to develop a software product that, in real-time, will chart an optimal and secure route for delivering humanitarian cargo, avoiding risks, and reducing human intervention. Utilizing geographical data from various sources, such as GPS, aerospace, and satellite imagery, along with information from local websites, will enable the creation of a status map and ensure efficient management of humanitarian aid. The article also explores the application of the Analytic Hierarchy Process (AHP) method to determine optimization criteria and select the optimal route. This approach considers partial criteria, including route length, travel time, vehicle type, and others, to identify new routes in the conditions of a military conflict. The provided recommendations and methods facilitate the creation of an innovative tool for effective humanitarian aid management in the context of armed conflict, ensuring safety and delivery efficiency in Ukraine. The development of such a tool not only streamlines the delivery of humanitarian assistance but also helps mitigate threats to the safety of workers and aid recipients, contributing to the provision of necessary resources in emergency situations.