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Rapid Operational Access and Maneuver Support platform for military logistics and operation planning in water environments

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Listed:
  • Drew Allan Loney
  • Kimberly Collins Pevey
  • Jennifer Tate McAlpin
  • Benjamin Wright Nelsen
  • Brent Harry Hargis

Abstract

Logistical and combat operations in riverine, estuarine, and coastal environments remain a key military focus due to limited maneuverability, imperfect knowledge, and rapidly changing constraints. Vessel operation in water environments can be enhanced by routing algorithms that integrate mission parameters with environmental data and vessel specifications. These algorithms must update predetermined routes in a timely manner as parameters and specifications change. The US Army Engineer Research and Development Center Coastal and Hydraulics Laboratory is developing the capability for military planners to rapidly optimize vessel routes in water environments by extending capabilities of the Rapid Operational Access and Maneuver Support (ROAMS) modeling platform. The ROAMS platform allows users to rapidly generate models of a water environment in limited-information conditions, utilizing the Adaptive Hydraulics and STeady-state spectral WAVE computational engines for the base two-dimensional hydrodynamics and waves, respectively. Routing capabilities are built on path search and penalty-barrier optimization to automatically produce routes that account for temporally changing environmental variables and vessel maneuverability. This work outlines the components of the ROAMS routing package and presents a case study using ROAMS in a northeastern American metropolitan area. Benefits and limitations of the ROAMS routing platform are discussed and future improvements are suggested.

Suggested Citation

  • Drew Allan Loney & Kimberly Collins Pevey & Jennifer Tate McAlpin & Benjamin Wright Nelsen & Brent Harry Hargis, 2018. "Rapid Operational Access and Maneuver Support platform for military logistics and operation planning in water environments," The Journal of Defense Modeling and Simulation, , vol. 15(4), pages 437-447, October.
    • Handle: RePEc:sae:joudef:v:15:y:2018:i:4:p:437-447
    DOI: 10.1177/1548512918772028
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    References listed on IDEAS

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    1. Zhanke Yu & Mingfang Ni & Zeyan Wang & Yanhua Zhang, 2013. "Dynamic Route Guidance Using Improved Genetic Algorithms," Mathematical Problems in Engineering, Hindawi, vol. 2013, pages 1-6, February.
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