A planned approach to high collision risk area
Author(s)
Li, John Zhang.
Download1227044247-MIT.pdf (7.715Mb)
Other Contributors
Joint Program in Oceanography/Applied Ocean Science and Engineering.
Massachusetts Institute of Technology. Department of Mechanical Engineering.
Woods Hole Oceanographic Institution.
Advisor
Michael R. Benjamin and John J. Leonard.
Terms of use
Metadata
Show full item recordAbstract
This thesis examines the transition of a vessel from the open ocean, where collisions are rare, to a high risk and heavy traffic area such as a Traffic Separation Scheme (TSS). Previous autonomy approaches generally view path planning and collision avoidance as two separate functions, i.e. a vessel will follow the planned path until conditions are met for collision avoidance algorithms to take over. Here an intermediate phase is proposed with the goal of adjusting the time of arrival to a high vessel density area so that the risk of collision is reduced. A general algorithm that calculates maximum future traffic density for all choices in the speed domain is proposed and implemented as a MOOS-IvP behavior. This behavior gives the vessel awareness of future collision risks and aids the collision avoidance process. This new approach improves the safety of the vessel by reducing the number of risky encounters that will likely require the vessel to maneuver for safety.
Description
Thesis: S.M., Joint Program in Oceanography/Applied Ocean Science and Engineering (Massachusetts Institute of Technology, Department of Mechanical Engineering; and the Woods Hole Oceanographic Institution), September, 2020 Cataloged from student-submitted PDF version of thesis. Includes bibliographical references (pages 103-107).
Date issued
2020Department
Joint Program in Oceanography/Applied Ocean Science and Engineering; Massachusetts Institute of Technology. Department of Mechanical Engineering; Woods Hole Oceanographic InstitutionPublisher
Massachusetts Institute of Technology
Keywords
Joint Program in Oceanography/Applied Ocean Science and Engineering., Mechanical Engineering., Woods Hole Oceanographic Institution.