Detecting anomalies and adapting railway network models during wartime

Abstract

In the context of the ongoing armed conflict in Ukraine, railway transport has become one of the key elements of the national transport infrastructure. Evacuation of the population, movement of humanitarian aid, and strategic cargo largely depend on it. Massive and prolonged disruptions caused by both direct hostilities and infrastructure damage significantly affect the efficiency of railway transportation. War leads to unpredictable changes in routes, demand, and availability of railway services, making the management of transport flows an extremely challenging task. The relevance of detecting anomalies and adapting network models under such conditions is increasing exponentially, as each failure or malfunction can have critical consequences for passenger safety and the overall stability of the transport system.