Abstract
Maritime transportation is one of the most significant components of the world’s economy and therefore safer, efficient, and sustainable transportation systems are essential. In the design of these systems, Operational Research/Management Science methods can help decision makers at operational and strategic levels. Simulation is one of the methods in the toolbox with its proven characteristics including scalability, flexibility, and accountability. Although simulation has been used for analyzing maritime transportation systems before, and there are examples in the literature, simulation model building process and models developed are not explicitly published. To fill this gap, and guide model builders in maritime transportation domain, this chapter presents a step by step development of a model which simulates maritime traffic in Bosporus, a narrow and busy strait in Istanbul, Turkey. The model utilizes two open source libraries in Java; OpenMap, a geographical information system, and SimKit, a discrete event simulation library. The model demonstrates the relationships between sea traffic rules, number of pilots, and waiting times. This chapter presents a simple and an extended version of the simulation model. The simple version includes one type of ship arrival, one pilot, and one radar. The extended version is a scaled-up version where these entities are multiplied; two types of ship arrivals, five pilots, and three radars. The models are fully customizable and can be tailored for various purposes. For illustration, the extended version is used to analyse the effects of change in number of pilots and mean of interarrival times to waiting times of ships.
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Gunal, M.M. (2018). Maritime Simulation Using Open Source Tools: Ship Transits in Bosporus. In: Konstantopoulos, C., Pantziou, G. (eds) Modeling, Computing and Data Handling Methodologies for Maritime Transportation. Intelligent Systems Reference Library, vol 131. Springer, Cham. https://doi.org/10.1007/978-3-319-61801-2_7
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DOI: https://doi.org/10.1007/978-3-319-61801-2_7
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