9 research outputs found
A systems theoretical perspective on data-driven modeling and simulation
HarvestSystem Engineerin
Towards automated model calibration and validation in rail transit simulation
System Engineerin
Towards automated model calibration and validation in rail transit simulation
The benefit of modeling and simulation in rail transit operations has been demonstrated in various studies. However, the complex dynamics involved and the ever-changing environment in which rail systems evolve expose the limits of classical simulation. Changing environmental conditions and second order dynamics challenge the validity of the models and seriously reduce model (re-)usability. This paper discusses the potential benefits and requirements of dynamic data-driven simulation in rail systems. The emphasis is placed on automated model reconfiguration, calibration, and validation through the use of data analysis methods. The rationale and requirements are discussed and a process model for data driven calibration and validation is proposed.Multi Actor SystemsTechnology, Policy and Managemen
Exploring multi-level model dynamics: Performance and accuracy (WIP)
Multi Actor SystemsTechnology, Policy and Managemen
The Architecture and Components of LIBROS: Strengths, Limitations, and Plans
System Engineerin
From data to simulation models : component-based model generation with a data-driven approach
Harvest, NEOSystem Engineerin
A simulation based design framework for large scale infrastructure systems design
This paper discusses an enhanced use of Modeling and Simulation (M&S) in the design cycle of large scale infrastructure systems. After a short review of the use of M&S in the current systems design process, we identify some issues in multi-actor design environment. A Simulation Based Design (SBD) framework is proposed to tackle these issues using a multi-methodological approach. The framework is specified with formal description, and the tree-like structuring and refinement of design alternatives are explained. A case of applying the framework to container terminal design is presented and the evaluation is reported.Multi Actor SystemsTechnology, Policy and Managemen
Simulation-based design for infrastructure system simulation
Simulation models are often used to analyze the behavior and performance of infrastructure systems. The use of simulation models in multi-actor design processes is restricted to the analysis phase after conceptual designs have been completed. To use simulation models throughout the design process, simulation environments need to be adapted to support the interactive and iterative nature of design processes, making the shift from a `hard' to a `soft' systems perspective. By using the Discrete Event Systems specification, modular and hierarchical component libraries can be constructed that can be used in participatory design processes. In this paper, we present our experiences on developing and using simulation environments in design processes for container terminals and rail systems. We present the cases, the architecture of the design environments and the use of them in actual design processes. Hereafter, we will discuss the enhancement we are studying to support the multiple perspectives present in multi-actor environmentsMulti-Actor SystemsTechnology, Policy and Managemen