Please use this identifier to cite or link to this item:
Title: A vessel navigational behavior model for assessing waterway capacity
Authors: Fang, Hui
Huang, Shell Ying
Hsu, Wen Jing
Song, Tiancheng
Keywords: DRNTU::Engineering::Computer science and engineering::Computer applications::Physical sciences and engineering
Issue Date: 2010
Source: Fang, H., Huang, S. Y., Hsu, W. J., & Song, T. (2010). A Vessel Navigational Behavior Model for Assessing Waterway Capacity. Proceedings of the First International Conference on Computational Logistics (ICCL), Shanghai, China.
Abstract: We have designed and built a detailed simulation system for modelling vessel navigation and traffic flows in a network of waterways. The simulation system includes the following models: the navigational network model, the traffic flow model, the vessel movement model and the vessel navigational behaviour model. In this paper we will focus on the vessel navigational behaviour model. We are able to simulate realistic navigational behaviours which depend on the type of the vessels, on the physical location and on the traffic situation. The model is calibrated and validated by three sets of real historical radar data collected from three different time periods. Using this model, we are able to analyze the traffic flows under various identified scenarios and conduct traffic capacity studies of the Singapore waterways.
Rights: © 2010 First International Conference on Computational Logistics (ICCL).  This is the author created version of a work that has been peer reviewed and accepted for publication by First International Conference on Computational Logistics (ICCL).  It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document.  The official conference website is:
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Conference Papers

Files in This Item:
File Description SizeFormat 
ICCL_trafficSimulation.pdf193.01 kBAdobe PDFThumbnail

Page view(s) 5

Updated on Sep 21, 2021

Download(s) 5

Updated on Sep 21, 2021

Google ScholarTM


Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.