Yilin Huang

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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(More)
Public rail transport systems concern infrastructure and control strategies with long life spans. While many rail system simulations aim at planning and design, this paper proposes a dynamic data-driven approach to improve the adaptability of the model, hence promoting an extended use of the simulation model. In the proposed approach, the simulation study(More)
and the staffs at the Federal Reserve Board and the Federal Reserve Banks of Boston, New York, and Philadelphia for helpful comments. The views expressed here are those of the authors and do not necessarily reflect those of the Federal Reserve Bank of Philadelphia or the Federal Reserve System. Abstract This paper conducts an in-depth analysis of structured(More)
The increasing complexity of railway systems and the high costs incurred by design and operational errors make modeling and simulation a popular methodology in the domain of railway transportation. To successfully support detailed design and operation, a microscopic rail network model is often deemed not only suitable but also mandatory. However, the(More)
Detailed yet computationally efficient simulation models are needed to support the design and operation of modern rail infrastructure systems. LIBROS-II is a model component library for microscopic rail operations simulation. Basic rail elements are modeled as atomic DEVS models which are further aggregated into more elaborate rail component models. The(More)
Model building is time-consuming and requires expertise in different areas. In this paper, we propose a data-driven approach for automatic model generation using pre-built and validated model components (or building blocks). We view this approach as an automated reuse of model components. Issues such as modularity and composability of model components are(More)
The Agency CMO market, an often overlooked corner of mortgage finance, has experienced tremendous growth over the past decade. This paper explains the rationale behind the construction of Agency CMOs, quantifies risks embedded in Agency CMOs using a traditional and a novel approach, and offers valuable lessons learned when interpreting these risk measures.(More)
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(More)
The graph transformation based method presented in this paper can automatically generate simulation models assuming that the models are intended for a certain domain. The method differs from other methods in that: the data used for model generation does not contain specifications of the model structures to be generated; the generated simulation models have(More)