Publication Type

Conference Proceeding Article

Publication Date

5-2017

Abstract

Environmental, regulatory and resource constraints affectsthe safety and efficiency of vessels navigating in and out ofthe ports. Movement of vessels under such constraints mustbe coordinated for improving safety and efficiency. Thus, weframe the vessel coordination problem as a multi-agent path-finding (MAPF) problem. We solve this MAPF problem usinga Coordinated Path-Finding (CPF) algorithm. Based onthe local search paradigm, the CPF algorithm improves onthe aggregated path quality of the vessels iteratively. Outputsof the CPF algorithm are the coordinated trajectories.The Vessel Coordination Module (VCM) described here isthe module encapsulating our MAPF-based approach for coordinatingvessel traffic. Our demonstration of VCM is conductedusing two maritime scenarios of vessel traffic at twogeographical regions of Singapore Waters.

Discipline

Artificial Intelligence and Robotics | Computer Sciences | Transportation

Research Areas

Intelligent Systems and Decision Analytics

Publication

Proceedings of International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2017)

First Page

1814

Last Page

1816

Publisher

IFAAMAS

City or Country

Liverpool

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Additional URL

http://www.ifaamas.org/Proceedings/aamas2017/pdfs/p1814.pdf

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