CASUALTY EVACUATION OPTIMIZATION IN A CONFLICTED ENVIRONMENT
Cone, Stephen W.
Vogiatzis, Chrysafis, University of Illinois—Urbana
Kline, Jeffrey E.
MetadataShow full item record
Servicemembers who are injured, particularly in combat, often require rapid evacuation and transport through contested environments. Using unmanned autonomous vehicles (UAV) may help reduce the personnel required to move patients to points of care, thereby reducing the potential for further casualties. However, the UAV and the original patient may still be subject to detection by enemy agents in the area. Safely transporting a casualty in as little time as possible greatly improves survivability. Current treatment of the problem of moving casualties involves manned medical evacuation (MEDEVAC) missions, often with armed escorts. Autonomous evacuation will likely involve simple shortest path solutions to move from one point to another; however, this will not help protect from adversaries. Our model uses network flow optimization to best determine a safe path for autonomous casualty evacuation to follow, while avoiding adversaries and their attacks, and delivering a patient in a timely fashion. This model synchronizes departure and travel times of two echelons of vehicles to effect patient transfer for extraction to definitive care. With two scenarios, our results prove the concept of this model, successfully delivering patients with synchronized efforts, within time limits, and solving the problem in little computational time.
RightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
Showing items related by title, author, creator and subject.
Perez Villalonga, Francisco J. (Monterey California. Naval Postgraduate School, 2005-09);This thesis addresses the problem of optimal evacuation of a naval ship. We propose the use of a dynamic escape-route system which employs a signaling system to adapt the emergency egress process to the instigating ...
Escape from the Delta: preparation and evacuation for catastrophic flooding in California Emergency Management Agency Region IV Yuhas, Timothy C. (Monterey, California. Naval Postgraduate School, 2011-03);We model the regional highway system of Central California and consider the challenge of evacuating a highly populated region from the threat of catastrophic flood. Specifically, we build a minimum cost network flow problem ...
Crews, Jason C. (Monterey, California. Naval Postgraduate School, 2012-03);Decision making in the face of uncertainty is a difficult task, and this is exacerbated when the decision is irreversible, it involves a near-term deadline, and/or the cost of a bad decision is high. Deciding whether to ...