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This research aims to develop a model for deploying relief trains and protecting infrastructure under uncertain conditions.

May 29, 2026Transportation Research Part E Logistics and Transportation Review0 citationsOpen Access

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A stochastic tri-level interdiction model for relief train location and infrastructure protection

FHFlorentina HagerUniversity of Twente MRMelanie Reuter-OppermannTechnical University of Applied Sciences Würzburg-Schweinfurt

Key Points

This research aims to develop a model for deploying relief trains and protecting infrastructure under uncertain conditions.
Introduced a Defender-Attacker-Defender model for relief train deployment and protection.
Incorporated scenario-dependent disruptions at the attacker stage.
Developed a progressive hedging-inspired algorithm for computational challenges.
Improved survival probability by up to 70% when accounting for uncertainty and interactions.

Abstract

• We introduce a strategic Defender-Attacker-Defender model for relief train deployment and infrastructure protection. • Our approach incorporates scenario-dependent disruptions at the attacker-stage to enhance robustness in disaster response planning. • We develop a progressive hedging-inspired algorithm to tackle the problem’s computational challenges. • Our results show that accounting for uncertainty and interactions can improve overall survival probability by up to 70%.

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A stochastic tri-level interdiction model for relief train location and infrastructure protection

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