Conference Proceeding Article
Global increase in trade leads to congestion of maritime trafﬁc at the ports. This often leads to increased maritime incidents or near-miss situations. To improve maritime safety while maintaining eﬃciency, movement of vessels needs to be better coordinated. Our work formulates this problem of coordinating the paths of vessels as a multi-agent path-ﬁnding (MAPF) problem. To address this problem, we introduce an innovative application of MAPF in the maritime domain known as Vessel Coordination Module (VCM). Based on the local search paradigm, VCM plans on a joint state space updated using the Electronic Navigation Charts (ENC) and the paths of vessels. We introduce the notion of path quality that measures the number of positions on a vessel path that is too close to some other vessels spatially and temporally. VCM aims to improve the overall path quality of vessels by improving path quality of selected vessels. Experiments are conducted on the Singapore Straits to evaluate and compare performance of our proposed approach in heterogeneous maritime scenario. Our experiment results show that VCM can improve the overall path quality of the vessels.
Technology and Innovation
Intelligent Systems and Decision Analytics
International Conference on Autonomous Agents and Multiagent Systems (AAMAS), Sao Paulo, Brazil, 2016, February 12-17
California AAAI Press
City or Country
TENG, Teck Hou (DENG Dehao); LAU, Hoong Chuin; and KUMAR, Akshat.
Coordinating vessel traffic to improve safety and efficiency. (2017). International Conference on Autonomous Agents and Multiagent Systems (AAMAS), Sao Paulo, Brazil, 2016, February 12-17. Research Collection School Of Information Systems.
Available at: http://ink.library.smu.edu.sg/sis_research/3743
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