Agent-based model of maritime traffic in piracy-affected waters

Vaněk, Ondřej; Jakob, Michal; Hrstka, Ondřej; Pěchouček, Michal

doi:10.1016/j.trc.2013.08.009

Cited by 52 publications

(35 citation statements)

References 12 publications

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“…In [16], they describe and model the transportation system from a macro perspective. They describe the pirates and piracy countermeasures by using the agent based models.…”

Section: Maritime Piracy Simulationmentioning

confidence: 99%

Random Finite Set Based Data Assimilation for Dynamic Data Driven Simulation of Maritime Pirate Activity

Wang

et al. 2017

Mathematical Problems in Engineering

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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.

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“…In [16], they describe and model the transportation system from a macro perspective. They describe the pirates and piracy countermeasures by using the agent based models.…”

Section: Maritime Piracy Simulationmentioning

confidence: 99%

Random Finite Set Based Data Assimilation for Dynamic Data Driven Simulation of Maritime Pirate Activity

Wang

et al. 2017

Mathematical Problems in Engineering

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“…Existing applications of ABS for maritime search operations mainly focus on maritime patrol simulations to deter pirate attacks (Decraene et al 2010a, Bruzzone et al 2011, Jakob et al 2011, Tsilis 2011, Vaněk et al 2013, Marchione et al 2014, Dabrowski and De Villiers 2015, Varol and Gunal 2015, port-protection simulation (Leathrum et al 2009, Shieh et al 2012, Harris et al 2013, the simulation of traffic in ports and coastal waters (Hasegawa 2004), combat simulation (Champagne et al 2003, Price 2003, Cioppa et al 2004, Hill et al 2004, Champagne 2004, Hill et al 2006, Decraene et al 2010b, Xing et al 2013, surface surveillance simulations (Steele 2004) and force protection simulations (Harney 2003, Akbori 2004, Walton et al 2005, Sullivan 2006, Ng 2007. It is clear that most of the applications are for maritime security and military operations.…”

Section: Application Of Abs In Maritime Search Operationsmentioning

confidence: 99%

“…A tool that can help to analyse the expected performance of a search-operation strategy is very useful. Tools that use ABS in the maritime search domain and sea-patrol operations are surprisingly scarce in comparison to other OR techniques, as confirmed by Davidsson et al (2005) and Vaněk et al (2013). One of the main reasons is the difficulty in validating the ABS model.…”

Section: Introductionmentioning

confidence: 99%

Test-driven simulation modelling: A case study using agent-based maritime search-operation simulation

Onggo

Karataş

2016

European Journal of Operational Research

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Model verification and validation (V&V) is one of the most important activities in simulation modelling. Model validation is especially challenging for agent-based simulation (ABS). Techniques that can help to improve V&V in simulation modelling are needed. This paper proposes a V&V technique called Test-Driven Simulation Modelling (TDSM) which applies techniques from TestDriven Development in software engineering to simulation modelling. The main principle in TDSM is that a unit test for a simulation model has to be specified before the simulation model is implemented. Hence, TDSM explicitly embeds V&V in simulation modelling. We use a case study in maritime search operations to demonstrate how TDSM can be used in practice. Maritime search operations (and search operations in general) are one of the classic applications of Operational Research (OR). Hence, we can use analytical models from the vast search theory literature for unit tests in TDSM. The results show that TDSM is a useful technique in the verification and validation of simulation models, especially ABS models. This paper also shows that ABS can offer an alternative modelling approach in the analysis of maritime search operations. INTRODUCTIONAgent-Based Simulation (ABS) has become one of the commonly used tools to model and understand complex and nonlinear systems (North and Macal 2007). ABS provides a controlled environment for systematic experimentation using a simulation model that is formed from a set of interacting agents. There is no consensus on the definition of an agent in the ABS literature (Macal and North 2010). Instead, we have observed a spectrum of complexity in its definition. At one extreme, an ABS model is formed by a set of agents with a set of simple attributes (such as speed and detection range) and simple behaviours (such as move and rescue). At the other extreme, an ABS model can be composed of a set of agents with complex attributes (such as memory and bounded rationality) and complex abilities (such as planning and learning). However, most researchers agree that an agent is an autonomous entity (i.e. it makes independent decisions without any central control), has a set of objectives and interacts with other agents and its environment. One of the most important activities in ABS is model validation. There are similarities between ABS and Discrete-Event Simulation (DES). Both are able to represent stochastic dynamic systems and can track individuals' states throughout their lifecycles in the model. Hence, a number of validation techniques proposed for DES are also suitable for ABS, such as face validity, operational validity, white-box validation and black-box validation. Kleijnen (1995), Balci (1995 and Sargent (2013) provide a list of validation techniques in the context of stochastic dynamic simulation which are applicable to DES and ABS. All good simulation textbooks have at least one chapter that discusses validation techniques. Law (2014, chapter 5) and Banks et al. (2010, chapter 10) discuss various techniques...

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“…the number and speci cations of equipment, were identi ed following a sensitivity analysis. Van¥k et al (2013) developed an agent-based model for the maritime tra c simulation. In this model, the authors focused on pirate activities and piracy…”

Section: Literature Reviewmentioning

confidence: 99%

Green vehicle technology to enhance the performance of a European port: A simulation model with a cost-benefit approach

Kavakeb

Nguyễn

McGinley³

et al. 2015

Transportation Research Part C: Emerging Technologies

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In this paper, we study the impact of using a new intelligent vehicle technology on the performance and total cost of a European port, in comparison with existing vehicle systems like trucks. Intelligent autonomous vehicles (IAVs) are a new type of automated guided vehicles (AGVs) with better maneuverability and a special ability to pick up/drop o containers by themselves. To identify the most economical eet size for each type of vehicle to satisfy the port's performance target, and also to compare their impact on the performance/cost of container terminals, we developed a discrete-event simulation model to simulate all port activities in micro-level (low-level) details. We also developed a cost model to investigate the present values of using two types of vehicle, given the identi ed eet size. Results of using the di erent types of vehicles * Co-rst authors. These authors contributed equally to this work. Given the best con guration and eet size as identi ed by the simulation, we use the developed cost model to estimate the total cost needed for each type of vehicle to meet the performance target. Finally, we study the performance of the case study port with advanced real-time vehicle dispatching/scheduling and container placement strategies. This study reveals that the case study port can greatly bene t from upgrading its current vehicle dispatching/scheduling strategy to a more advanced one.

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Agent-based model of maritime traffic in piracy-affected waters

Cited by 52 publications

References 12 publications

Random Finite Set Based Data Assimilation for Dynamic Data Driven Simulation of Maritime Pirate Activity

Random Finite Set Based Data Assimilation for Dynamic Data Driven Simulation of Maritime Pirate Activity

Test-driven simulation modelling: A case study using agent-based maritime search-operation simulation

Green vehicle technology to enhance the performance of a European port: A simulation model with a cost-benefit approach

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