Development and applications of a simulation model for vessels in the Singapore Straits

The traffic volume in the Singapore Strait will be significantly increased according to the prediction by the United Nations Conference on Trade and Development. Therefore, it is important for the maritime authorities (e.g. Maritime and Port Authority of Singapore) to capture a picture of ship movements in the Straits in the near future. This paper proposed a novel simulation model for ship movements in the narrow and busy shipping channel. The simulation approach is on the basis of a modified Cellular Automata model and takes interactions between consecutive ships into consideration by expert judgment from experienced personnel. Discrete event models are applied to generate vessels with different categories and velocities from four portals of the Strait. Ten ship following rules and five ship crossing rules are used to simulate the mariners' response to various navigational scenarios. The model is further verified by comparing the actual travel time through the Strait and the time derived from the model. At last, applications of the model are illustrated.

[1]  David A. Gebala,et al.  An application of axiomatic design , 1992 .

[2]  A. N. Ince,et al.  Modelling and Simulation for Safe and Efficient Navigation in Narrow Waterways , 2004, Journal of Navigation.

[3]  Fujio Kaneko,et al.  Methods for probabilistic safety assessments of ships , 2002 .

[4]  Jason R. W. Merrick,et al.  On a risk management analysis of oil spill risk using maritime transportation system simulation , 2011, Ann. Oper. Res..

[5]  Cengiz Kahraman,et al.  Application of axiomatic design and TOPSIS methodologies under fuzzy environment for proposing competitive strategies on Turkish container ports in maritime transportation network , 2009, Expert Syst. Appl..

[6]  Cengiz Kahraman,et al.  Fuzzy axiomatic design-based performance evaluation model for docking facilities in shipbuilding industry: The case of Turkish shipyards , 2009, Expert Syst. Appl..

[7]  Ercan Köse,et al.  Simulation of marine traffic in Istanbul Strait , 2003, Simul. Model. Pract. Theory.

[8]  Michael Schreckenberg,et al.  A cellular automaton model for freeway traffic , 1992 .

[9]  Jason R. W. Merrick,et al.  Assessing Uncertainty in Simulation‐Based Maritime Risk Assessment , 2005, Risk analysis : an official publication of the Society for Risk Analysis.

[10]  Zygmunt L. Szpak,et al.  Maritime surveillance: Tracking ships inside a dynamic background using a fast level-set , 2011, Expert Syst. Appl..

[11]  Metin Celik,et al.  Application of fuzzy extended AHP methodology on shipping registry selection: The case of Turkish maritime industry , 2009, Expert Syst. Appl..

[12]  P. Terndrup Pedersen Review and application of ship collision and grounding analysis procedures , 2010 .

[13]  Simplus Pte,et al.  1 Working Paper for “ Carriage Capacity of the Straits of Malacca and Singapore ” , 2009 .

[14]  R. Asariotis,et al.  Review of Maritime Transport, 2008 , 2008 .

[15]  Dimitrios Mavrakis,et al.  A queueing model of maritime traffic in Bosporus Straits , 2008, Simul. Model. Pract. Theory.

[16]  Jason R. W. Merrick,et al.  A Risk Management Procedure for the Washington State Ferries , 2001, Risk analysis : an official publication of the Society for Risk Analysis.

[17]  Tayfur Altiok,et al.  Waiting time approximation in single-class queueing systems with multiple types of interruptions: modeling congestion at waterways entrances , 2009, Ann. Oper. Res..