Ships' domains as collision risk at sea in the evolutionary method of trajectory planning

The goal of this paper is to discuss the problem of avoiding collisions at sea from the perspective of an evolutionary process and representation in this problem the risk of collision. In an evolutionary method (EP/N Evolutionary Planer Navigator System) of generating paths of the ship in partially-known environments is presented. The evolutionary process which searches for a near-optimum trajectory in a collision situation takes into account a time parameter and the dynamic constraints, which treat to the risk of collision with meeting strange ships. The ship domain as a risk of the collision - shapes and dimensions of dynamic constrains depend on assumed safety conditions.

[1]  Hiroshi Murase,et al.  A STRANDING AVOIDANCE SYSTEM USING RADAR IMAGE MATCHING: DEVELOPMENT AND EXPERIMENT , 1991 .

[2]  Roland S. Burns An Intelligent Integrated Ship Guidance System , 1992 .

[3]  Martha Grabowski,et al.  Evolution of Intelligent Shipboard Piloting Systems: A Distributed System for the St Lawrence Seaway , 1996 .

[4]  A. Lenart,et al.  Collision Threat Parameters for a new Radar Display and Plot Technique , 1983, Journal of Navigation.

[5]  Robert Sutton,et al.  Recent Technological Advances in the Control and Guidance of Ships , 1994, Journal of Navigation.

[6]  R. S. Burns,et al.  An Automatic Collision Avoidance and Guidance System for Marine Vehicles in Confined Waters , 1986 .

[7]  Hoi-Shan Lin,et al.  Evolutionary algorithm for path planning in mobile robot environment , 1994, Proceedings of the First IEEE Conference on Evolutionary Computation. IEEE World Congress on Computational Intelligence.

[8]  Roman Smierzchalski,et al.  Trajectory Planning for Ship in Collision Situations at Sea by Evolutionary Computation , 1997 .

[9]  Elisabeth M. Goodwin,et al.  A Statistical Study of Ship Domains , 1973, Journal of Navigation.

[10]  Yukito Iijima,et al.  Results of Collision Avoidance Manoeuvre Experiments Using a Knowledge-Based Autonomous Piloting System , 1991 .

[11]  Francisco Herrera,et al.  Genetic Algorithms and Soft Computing , 1996 .

[12]  Zbigniew Michalewicz,et al.  Evolutionary Planner/Navigator: operator performance and self-tuning , 1996, Proceedings of IEEE International Conference on Evolutionary Computation.

[13]  C. T. Stockel,et al.  A Computer Simulation of Multi-Ship Encounters , 1982, Journal of Navigation.

[14]  Yukito Iijima,et al.  Study Towards a 21st-Century Intelligent Ship , 1991 .

[15]  Zbigniew Michalewicz,et al.  Adaptive modeling of a ship trajectory in collision situations at sea , 1998, 1998 IEEE International Conference on Evolutionary Computation Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98TH8360).

[16]  Roman Smierzchalski Evolutionary Guidance System for Ship in Collisions Situation at Sea , 1998 .

[17]  Zbigniew Michalewicz,et al.  Genetic Algorithms + Data Structures = Evolution Programs , 1996, Springer Berlin Heidelberg.