Game Theoretic Fish Patrol Schedule Model

TEAMCORE Members:

  • Milind Tambe
  • Matthew Brown
  • Debarun Kar
  • Yundi Qian
  • Alumni:

  • William Haskell
  • Albert Xin Jiang
  • phnom

    Associated Groups:

  • Coast Guard Atlantic Area
  • Coast Guard Pacific Area
  • Coast Guard Headquarters
  • Coast Guard District One
  • Coast Guard District Eight
  • Coast Guard District Eleven
  • Coast Guard Research and Development Center
  • DHS S&T, Office of University Programs
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    Motivation

    Marine fisheries are acknowledged to be some of the most important food resources for countries around the world. However, the issue of fishery sustainability has now become a key concern around the world. As reported by World Wild Fund for Nature (WWF), cod are currently at risk from overfishing in the UK, Canada and most other Atlantic countries. Global cod catch has suffered a 70% drop over the last 30 years, and if this trend continues, the world's cod stocks will disappear in 15 years.

    Illegal, unreported, and unregulated (IUU) fishing is one of the major threats to the sustainability of ocean fish resources. As estimated by National Oceanic and Atmospheric Administration (NOAA), IUU fishing produces between 11 and 26 million tons of seafood annually, representing as much as 40 percent of the total catch in some fisheries. The driver behind IUU fishing is high economic profit and low chance of seizure.

    It is impossible to maintain a 24/7 presence to prevent IUU fishing everywhere due to the limited asset patrolling resources. Hence the allocation of the patrolling resources becomes a key challenge for security agencies like USCG. Research within this project aims to address the problem of deriving accurate patrol schedules for the US Coast Guard. To achieve this, our aim is to develop fast and effective techniques to solve security games defined over continuous spaces, where different types of defenders and attackers might co-exist and potentially coordinate their behavior.

     

    Pictures

    Above, the airstrip at the Corpus Christi Coast Guard base is pictured, along with team-member Will Haskell. Aerial assets have much greater range and vision than surface assets, and are a vital part of CG patrols. Aircraft fly out of Corpus Christi regularly to patrol the Mexican border. Despite the importance of air assets, only surface assets can interdict illegal fisherman. Above, a CG patrol boat is pictured approaching a suspicious fishing vessel. There is a large variety of CG surface assets, with various ranges, speeds and mission profiles. A smaller CG patrol boat is pictured above, such craft are good for short range interception but not for long term missions.
    Above, a short range patrol boat is pictured leaving the dock. Vessels of this size can operate away from base for a few hours, while larger cutters can operate independently for days or weeks. The CG inspect a seized fishing vessel back at their base. The fishing vessels used by Lanchas are actually fairly small, two or three person craft. The CG pull up alongside a small fishing vessel for an inspection.


    Game Theoretic Fish Patrol Schedule Model Overview

    The Game Theoretic Fish Patrol Schedule Model casts the interaction between the USCG (defender) and the illegal fishing boats, i.e., lanchas (adversaries), as a repeated Stackelberg game. Real-world data provided by the USCG is used to estimate the parameters of the game, including the behavorial model of the Lancha adversaries. The Stackelberg game can be solved using the MIDAS algorithm which computes the defender's strategy, i.e., a randomized patrolling strategy. The defender strategy is then used to generate daily patrol schedules for the USCG assets. Executing these patrol schedules produces more Lancha data which allows the entire process to be repeated .

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    Publications

     

    Disclaimer

    The views expressed in this article are those of the author and DO NOT necessarily reflect the views of the USCG, DHS, or the U.S. Federal Government or any Authorized Representative thereof. The U.S. Government does not approve/ endorse the contents of this article, therefore the article shall not be used for advertising or endorsement purposes. The U.S. Government assumes NO liability for its contents or use thereof. Moreover, the information contained within this article is NOT OFFICIAL U.S. Government policy and cannot be construed as official in any way. Also, the reference herein to any specific commercial entity, products, process, or service by trade name, trademark, manufacturer, or otherwise, does NOT necessarily constitute or imply its approval, endorsement, or recommendation by the U.S. Government.

     

    Acknowledgement

    This research is supported by CREATE, US Coast Guard and DHS S&T.