Conference Proceeding Article
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.
Artificial Intelligence and Robotics | Computer Sciences | Transportation
Intelligent Systems and Decision Analytics
Proceedings of International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2017)
City or Country
TENG, Teck-Hou; LAU, Hoong Chuin; and KUMAR, Akshat.
A multi-agent system for coordinating vessel traffic (Demonstration). (2017). Proceedings of International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2017). 1814-1816. Research Collection School Of Information Systems.
Available at: http://ink.library.smu.edu.sg/sis_research/3863
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