Title :
Dynamic Data Driven Multi-agent Simulation in Maritime Traffic
Author :
Xiaoyingjie ; Zhanghao ; Lisong
Author_Institution :
Merchant Marine Coll., Shanghai Maritime Univ., Shanghai
Abstract :
This paper proposes a framework of the dynamic data driven multi-agent simulation system (Gary M. Pereira, 2007) in maritime traffic domain. It presents a survey on the current developments of maritime traffic simulation. Multi-agent templates have been devised to capture the knowledge of how the individual agents interaction in pursuit of the shared goals to solve the complex problems of port maritime traffic. This presents the potential to transform the way maritime traffic simulations are done, and creates new capabilities for maritime traffic applications.
Keywords :
marine vehicles; multi-agent systems; traffic engineering computing; dynamic data driven multi-agent simulation; maritime traffic simulation; transportation problem; Computational modeling; Computer simulation; Data engineering; Educational institutions; Information analysis; Predictive models; Remote monitoring; Traffic control; Transportation; Vehicle dynamics; Dynamic Data Driven; Maritime traffic; Multi-Agent Simulation;
Conference_Titel :
Computer and Automation Engineering, 2009. ICCAE '09. International Conference on
Conference_Location :
Bangkok
Print_ISBN :
978-0-7695-3569-2
DOI :
10.1109/ICCAE.2009.17