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The United States Coast Guard Computer‐Assisted Search Planning system (CASP)

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  • Henry R. Richardson
  • Joseph H. Discenza

Abstract

This paper provides an overview of the Computer‐Assisted Search Planning (CASP) system developed for the United States Coast Guard. The CASP information processing methodology is based upon Monte Carlo simulation to obtain an initial probability distribution for target location and to update this distribution to account for drift due to currents and winds. A multiple scenario approach is employed to generate the initial probability distribution. Bayesian updating is used to reflect negative information obtained from unsuccessful search. The principal output of the CASP system is a sequence of probability “maps” which display the current target location probability distributions throughout the time period of interest. CASP also provides guidance for allocating search effort based upon optimal search theory.

Suggested Citation

  • Henry R. Richardson & Joseph H. Discenza, 1980. "The United States Coast Guard Computer‐Assisted Search Planning system (CASP)," Naval Research Logistics Quarterly, John Wiley & Sons, vol. 27(4), pages 659-680, December.
    • Handle: RePEc:wly:navlog:v:27:y:1980:i:4:p:659-680
    DOI: 10.1002/nav.3800270413
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    Cited by:

    1. Donatien Agbissoh OTOTE & Benshuai Li & Bo Ai & Song Gao & Jing Xu & Xiaoying Chen & Guannan Lv, 2019. "A Decision-Making Algorithm for Maritime Search and Rescue Plan," Sustainability, MDPI, vol. 11(7), pages 1-16, April.
    2. J. R. Weisinger & S. J. Benkoski, 1989. "Optimal layered search," Naval Research Logistics (NRL), John Wiley & Sons, vol. 36(1), pages 43-60, February.
    3. Alan R. Washburn, 1998. "Branch and bound methods for a search problem," Naval Research Logistics (NRL), John Wiley & Sons, vol. 45(3), pages 243-257, April.

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