Multiagent decision making for maritime traffic management

• Main Authors: SINGH, Arambam James, NGUYEN, Duc Thien, KUMAR, Akshat, LAU, Hoong Chuin
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2019
• Subjects: Artificial Intelligence and Robotics; Computer Sciences; Operations Research, Systems Engineering and Industrial Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/4695; https://ink.library.smu.edu.sg/context/sis_research/article/5698/viewcontent/4575_Article_Text_7614_1_10_20190707_pv.pdf
• Institution: Singapore Management University

We address the problem of maritime traffic management in busy waterways to increase the safety of navigation by reducing congestion. We model maritime traffic as a large multiagent systems with individual vessels as agents, and VTS authority as the regulatory agent. We develop a maritime traffic sim...