Random Finite Set Based Data Assimilation for Dynamic Data Driven Simulation of Maritime Pirate Activity
Joint Authors
Peng, Yong
Li, Ge
Wang, Peng
Ju, Rusheng
Source
Mathematical Problems in Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-18, 18 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-12-11
Country of Publication
Egypt
No. of Pages
18
Main Subjects
Abstract EN
Maritime piracy is posing a genuine threat to maritime transport.
The main purpose of simulation is to predict the behaviors of many actual systems, and it has been successfully applied in many fields.
But the application of simulation in the maritime domain is still scarce.
The rapid development of network and measurement technologies brings about higher accuracy and better availability of online measurements.
This makes the simulation paradigm named as dynamic data driven simulation increasingly popular.
It can assimilate the online measurements into the running simulation models and ensure much more accurate prediction of the complex systems under study.
In this paper, we study how to utilize the online measurements in the agent based simulation of the maritime pirate activity.
A new random finite set based data assimilation algorithm is proposed to overcome the limitations of the conventional vectors based data assimilation algorithms.
The random finite set based general data model, measurement model, and simulation model are introduced to support the proposed algorithm.
The details of the proposed algorithm are presented in the context of agent based simulation of maritime pirate activity.
Two groups of experiments are used to practically prove the effectiveness and superiority of the proposed algorithm.
American Psychological Association (APA)
Wang, Peng& Li, Ge& Ju, Rusheng& Peng, Yong. 2017. Random Finite Set Based Data Assimilation for Dynamic Data Driven Simulation of Maritime Pirate Activity. Mathematical Problems in Engineering،Vol. 2017, no. 2017, pp.1-18.
https://search.emarefa.net/detail/BIM-1190698
Modern Language Association (MLA)
Wang, Peng…[et al.]. Random Finite Set Based Data Assimilation for Dynamic Data Driven Simulation of Maritime Pirate Activity. Mathematical Problems in Engineering No. 2017 (2017), pp.1-18.
https://search.emarefa.net/detail/BIM-1190698
American Medical Association (AMA)
Wang, Peng& Li, Ge& Ju, Rusheng& Peng, Yong. Random Finite Set Based Data Assimilation for Dynamic Data Driven Simulation of Maritime Pirate Activity. Mathematical Problems in Engineering. 2017. Vol. 2017, no. 2017, pp.1-18.
https://search.emarefa.net/detail/BIM-1190698
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1190698