Model Based Systems Engineering for System of Systems Using Agent-based Modeling

Acheson, Paulette; Dağli, Ci̇han H.; Kilicay‐Ergin, Nil

doi:10.1016/j.procs.2013.01.002

Cited by 34 publications

(17 citation statements)

References 5 publications

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“…• Creating system models with a structure that follows the principles of the agent-based modeling technique and uses the concepts of the UML class diagrams [32,35]. Thereby, the system model acts as simple communication basis for subsequent system realization.…”

Section: Discussionmentioning

confidence: 99%

“…In general, model-based systems engineering relies on models to progress from the level of requirements to the level of system realization [32]. That is, it follows a model-centric approach rather than a traditional document-centric approach.…”

Section: Generate System Modelsmentioning

confidence: 99%

“…In practice, the SoS design and modeling cannot be carried out through a conventional system development process. Yet the complexity of the SoS design can be reduced considerably by following a model-centric approach [32]. Agent-based modeling can provide a practical tool in this regard [32].…”

Section: Generate System Modelsmentioning

confidence: 99%

“…Yet the complexity of the SoS design can be reduced considerably by following a model-centric approach [32]. Agent-based modeling can provide a practical tool in this regard [32]. It is a relatively new approach for modeling complex systems that are composed of further interacting systems.…”

Section: Generate System Modelsmentioning

confidence: 99%

See 3 more Smart Citations

An Application-Oriented Design Method for Networked Driving Simulation

Abdelgawad¹,

Gausemeier²,

Trächtler³

et al. 2017

Preprint

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Autonomous and cooperative vehicle systems represent a key priority in the automotive realm. Networked driving simulation can be utilized as a safe, cost-effective experimental replica of real traffic environments in order to support and accelerate the development of such systems. In networked driving simulation, different independent systems collaborate to achieve a common task: multi-driver traffic scenario simulation. Yet distinct system complexity levels are necessary to fulfill the requirements of various application scenarios, such as development of vehicle systems, analysis of driving behavior, and training of drivers. With myriad alternatives of available systems and components, developers of networked driving simulation are typically confronted with high design complexity. There are no systematic approaches to date for the design of networked driving simulation in accordance with the specific requirements of the concerned application scenarios. This paper presents a novel design method for networked driving simulation. The method consists mainly of a procedure model that is accompanied by a configuration software. The procedure model includes the necessary phases for the systematic design of application-oriented platforms for networked driving simulation. The configuration software embeds supportive decision-making processes that enable developers to apply the design method and easily create different system models. The design method was validated by generating system models and developing platforms of networked driving simulation for three different application scenarios.

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Section: Discussionmentioning

confidence: 99%

Section: Generate System Modelsmentioning

confidence: 99%

Section: Generate System Modelsmentioning

confidence: 99%

Section: Generate System Modelsmentioning

confidence: 99%

See 2 more Smart Citations

An Application-Oriented Design Method for Networked Driving Simulation

Abdelgawad¹,

Gausemeier²,

Trächtler³

et al. 2017

Preprint

View full text Add to dashboard Cite

show abstract

“…When looking for methodological support of stakeholder involvement in system design, first inputs in terms of theories of design pop up (cf. [4]), while structured guidance seems still to be lacking [5]. Hence, more attention needs to be drawn in investigating, creating the design of digital systems in a stakeholder-sensitive way.…”

Section: Introductionmentioning

confidence: 99%

System-of-Systems Design Thinking on Behavior

Stary

2017

Systems

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Due to the increasing digitalization of all societal systems, informed design of services and systems becomes pertinent for various stakeholders. This paper discusses the design of digital systems in a user-centered way with the help of subject-oriented design. The approach follows a communication-driven and network-centric perspective on a System-of-Systems, whereby system specifications encapsulate behavior and exchange messages, including relevant data, such as business objects. Systems can represent activities of human actors, as well as artefacts. Stakeholders can be actively involved in their roles in the design of a System-of-Systems. In the course of design, they identify and refine role-specific behavior, based on communication to other actors or systems. A System-of-Systems specification evolves as a network of cooperating behavior entities. It develops according to communication needs and system-specific capabilities, on the level of synchronized execution agents, or as an overlay mechanism on existing applications or sub networks. Since certain behavior sequences, such as decision-making procedures, are re-occurring in organizations or eco-systems, the design of complex systems can be facilitated by behavior patterns stemming from existing modeling experiences.

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