Automated decision making for operations within a Traffic Separation Scheme using MOOS-IvP

Thesis: Nav. E., Massachusetts Institute of Technology, Department of Mechanical Engineering, May, 2020 === Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, May, 2020 === Cataloged from the official PDF of thesis. === Includes bibliographical references (pag...

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Main Author: Barker, Jason(Jason Barnell)
Other Authors: Michael R. Benjamin.
Format: Others
Language:English
Published: Massachusetts Institute of Technology 2020
Subjects:
Online Access:https://hdl.handle.net/1721.1/127042
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spelling ndltd-MIT-oai-dspace.mit.edu-1721.1-1270422020-09-06T06:48:51Z Automated decision making for operations within a Traffic Separation Scheme using MOOS-IvP Barker, Jason(Jason Barnell) Michael R. Benjamin. Massachusetts Institute of Technology. Department of Mechanical Engineering. Massachusetts Institute of Technology. Department of Mechanical Engineering Mechanical Engineering. Thesis: Nav. E., Massachusetts Institute of Technology, Department of Mechanical Engineering, May, 2020 Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, May, 2020 Cataloged from the official PDF of thesis. Includes bibliographical references (pages 97-99). This thesis proposes a set of practical applications that utilizes the sharing of intent information and intended courses between marine vehicles operating in the vicinity of a Traffic Separation Scheme in order to reduce risk of collision for vehicles with intentions to join in accordance with Rule 10 of the COLREGs. The proposed set of applications also creates a method to digitally represent a Traffic Separation Scheme in MOOS-IvP simulation software using a structure modeled after Title 33 of the Code of Federal Regulations. Two types of Traffic Separation Scheme intents are communicated: traffic lane compliance, in which the vessel in the traffic lane is within the lane and on a compliant vessel heading in accordance with Rule 10.b, and compliant lane approach/traffic crossing, in which vehicles with lane crossing intent or intent to enter are on a compliant heading in accordance with Rule 10.c. Incorporating inter-vehicle communications to share intended courses allows for discrete extrapolation of future positions, determination of risk conditions, and ultimately a recommendation for an early speed maneuver to reduce risk conditions. Communications between shore and vehicle are also used to allow the vehicle to populate a Traffic Separation Scheme instance onboard which will enable future flexibility and minimize pre-loading of data for harbor operations. Simulation experiments demonstrate the feasibility of the proposed Rule 10 method in terms of both vehicle safety and proper traffic lane operation. by Jason Barker. Nav. E. S.M. Nav.E. Massachusetts Institute of Technology, Department of Mechanical Engineering S.M. Massachusetts Institute of Technology, Department of Mechanical Engineering 2020-09-03T17:43:44Z 2020-09-03T17:43:44Z 2020 2020 Thesis https://hdl.handle.net/1721.1/127042 1191714729 eng MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided. http://dspace.mit.edu/handle/1721.1/7582 99 pages application/pdf Massachusetts Institute of Technology
collection NDLTD
language English
format Others
sources NDLTD
topic Mechanical Engineering.
spellingShingle Mechanical Engineering.
Barker, Jason(Jason Barnell)
Automated decision making for operations within a Traffic Separation Scheme using MOOS-IvP
description Thesis: Nav. E., Massachusetts Institute of Technology, Department of Mechanical Engineering, May, 2020 === Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, May, 2020 === Cataloged from the official PDF of thesis. === Includes bibliographical references (pages 97-99). === This thesis proposes a set of practical applications that utilizes the sharing of intent information and intended courses between marine vehicles operating in the vicinity of a Traffic Separation Scheme in order to reduce risk of collision for vehicles with intentions to join in accordance with Rule 10 of the COLREGs. The proposed set of applications also creates a method to digitally represent a Traffic Separation Scheme in MOOS-IvP simulation software using a structure modeled after Title 33 of the Code of Federal Regulations. Two types of Traffic Separation Scheme intents are communicated: traffic lane compliance, in which the vessel in the traffic lane is within the lane and on a compliant vessel heading in accordance with Rule 10.b, and compliant lane approach/traffic crossing, in which vehicles with lane crossing intent or intent to enter are on a compliant heading in accordance with Rule 10.c. Incorporating inter-vehicle communications to share intended courses allows for discrete extrapolation of future positions, determination of risk conditions, and ultimately a recommendation for an early speed maneuver to reduce risk conditions. Communications between shore and vehicle are also used to allow the vehicle to populate a Traffic Separation Scheme instance onboard which will enable future flexibility and minimize pre-loading of data for harbor operations. Simulation experiments demonstrate the feasibility of the proposed Rule 10 method in terms of both vehicle safety and proper traffic lane operation. === by Jason Barker. === Nav. E. === S.M. === Nav.E. Massachusetts Institute of Technology, Department of Mechanical Engineering === S.M. Massachusetts Institute of Technology, Department of Mechanical Engineering
author2 Michael R. Benjamin.
author_facet Michael R. Benjamin.
Barker, Jason(Jason Barnell)
author Barker, Jason(Jason Barnell)
author_sort Barker, Jason(Jason Barnell)
title Automated decision making for operations within a Traffic Separation Scheme using MOOS-IvP
title_short Automated decision making for operations within a Traffic Separation Scheme using MOOS-IvP
title_full Automated decision making for operations within a Traffic Separation Scheme using MOOS-IvP
title_fullStr Automated decision making for operations within a Traffic Separation Scheme using MOOS-IvP
title_full_unstemmed Automated decision making for operations within a Traffic Separation Scheme using MOOS-IvP
title_sort automated decision making for operations within a traffic separation scheme using moos-ivp
publisher Massachusetts Institute of Technology
publishDate 2020
url https://hdl.handle.net/1721.1/127042
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